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Economic Analysis & Policy

Our doctoral program in the field of economic analysis and policy prepares students for research careers in economics. The program offers rigorous training and has several distinct advantages:

Low Student-to-Faculty Ratio

First, enrollment in the program is small. This encourages close faculty-student contact and allows students to become involved in research very early. Students work first as assistants on faculty research projects and, as their interests and skills develop, on their own research. Students often begin their publishing careers before completing their degrees.

Flexible and Innovative Program

Second, the program is flexible and innovative; students can draw on both the school’s and the university’s distinguished faculty. In addition to the faculty in the economics group at Stanford GSB and in the university’s economics department, students have access to faculty in political and behavioral sciences; accounting and finance; mathematics, statistics, and computer science; and many other disciplines.

A Top-Ranked School

Third, the program is part of a top-ranked professional school. This setting allows students to gain a deeper understanding of the actual processes of business decision-making and public policy formulation.

Preparation and Qualifications

Students who enroll in this program have a substantial background in economics and mathematics. They are expected to have, minimally, mathematical skills at the level of one year of advanced calculus and one course each in linear algebra, analysis, probability, optimization, and statistics.

The faculty selects students based on predicted performance in the program. Evidence of substantial background or ability in the use of mathematical reasoning and statistical methods is important. Most successful applicants had quantitative undergraduate majors in economics, mathematics, or related sciences.

In addition to evidence of ability and letters of recommendation, the faculty considers carefully the applicant’s statement of purpose for pursuing the PhD degree. The successful applicant usually has clearly defined career goals that are compatible with those of the program.

Acceptance into the program is extremely competitive. Admitted applicants compare very favorably with students enrolled in the top economics departments of major universities.

Economic Analysis & Policy Faculty

Emeriti faculty, recent publications in economic analysis & policy, recent insights by stanford business, placement director.

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Doctoral Program

The Ph.D. program is a full time program leading to a Doctoral Degree in Economics.  Students specialize in various fields within Economics by enrolling in field courses and attending field specific lunches and seminars.  Students gain economic breadth by taking additional distribution courses outside of their selected fields of interest.

General requirements

Students  are required to complete 1 quarter of teaching experience. Teaching experience includes teaching assistantships within the Economics department or another department .

University's residency requirement

135 units of full-tuition residency are required for PhD students. After that, a student should have completed all course work and must request Terminal Graduate Registration (TGR) status.

Department degree requirements and student checklist

1. core course requirement.

Required: Core Microeconomics (202-203-204) Core Macroeconomics (210-211-212) Econometrics (270-271-272).  The Business School graduate microeconomics class series may be substituted for the Econ Micro Core.  Students wishing to waive out of any of the first year core, based on previous coverage of at least 90% of the material,  must submit a waiver request to the DGS at least two weeks prior to the start of the quarter.  A separate waiver request must be submitted for each course you are requesting to waive.  The waiver request must include a transcript and a syllabus from the prior course(s) taken.  

2.  Field Requirements

Required:  Two of the Following Fields Chosen as Major Fields (click on link for specific field requirements).  Field sequences must be passed with an overall grade average of B or better.  Individual courses require a letter grade of B- or better to pass unless otherwise noted.

Research fields and field requirements :

  • Behavioral & Experimental
  • Development Economics
  • Econometric Methods with Causal Inference
  • Econometrics
  • Economic History
  • Environmental, Resource and Energy Economics
  • Industrial Organization
  • International Trade & Finance
  • Labor Economics
  • Market Design
  • Microeconomic Theory
  • Macroeconomics
  • Political Economy
  • Public Economics

3.  Distribution

Required:  Four other graduate-level courses must be completed. One of these must be from the area of economic history (unless that field has already been selected above). These courses must be distributed in such a way that at least two fields not selected above are represented.  Distribution courses must be passed with a grade of B or better.

4.  Field Seminars/Workshops

Required:  Three quarters of two different field seminars or six quarters of the same field seminar from the list below.   

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PhD Program

Wharton’s highly selective Ph.D. program in Applied Economics offers students many resources not available at other institutions, such as a 1:1 faculty to student ratio and an up-front guarantee of five years of funding with minimal teaching requirements. Combining the faculties of the departments of Real Estate and Business Economics & Public Policy, Wharton’s Applied Economics program leverages the breadth and depth of its faculty to prepare students for careers doing frontier theoretical and empirical research. Students can focus on a variety of areas including Behavioral Economics, Development Economics, Energy and Environmental Economics, Industrial Organization, Market Design, Public Economics, Risk Management, and Urban Economics and Real Estate. Students may also develop an inter-disciplinary focus by taking courses and working with faculty in some of the other departments at Wharton such as Finance, Health Care Management, Management, and Marketing.

All admitted students are granted a fellowship, including tuition, fees, and stipend.  Details about the application process, deadlines and requirements are available here

Program Requirements

Prospective students interested in pursuing a degree in Applied Economics  must apply for admission to the Wharton Doctoral Programs in Applied Economics.

Applicants may, if they wish, indicate a preferred field of study in their application. All applicants must provide valid test scores — the Applied Economics program accepts only the GRE. We do not require a minimum GRE score, however math scores among students admitted in the last few years were all above the 90 th percentile. In making our decision, we look at your GRE scores as well as the rest of your application: grades, coursework, work and research experience, essays, and recommendation.

We recommend at least three courses in mathematics, such as calculus, linear algebra, and real analysis, and at least three courses in statistics/econometrics. We prefer an economics undergraduate degree along with the math requirements noted above or a math/statistics degree with several courses in economics (at least up through intermediate microeconomics and macroeconomics).

phd economic analysis

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Rotman School of Management, University of Toronto

Main Content

Economic Analysis and Policy

What is the relationship between international trade and domestic productivity? What are the roles of urbanization and education in the skill development process? How do firms develop and maintain their market position? These are just some of the pressing issues you have the opportunity to study as a PhD student in Economic Analysis and Policy at the Rotman School.

Learn more about the strengths of the program

Strengths of the Program

The PhD Program in Economic Analysis and Policy at the Rotman School is designed to prepare students for research-oriented careers in university economics departments and management faculties as well as careers in business and government. The PhD provides in-depth knowledge of and training in general economic theory and methodology. Students benefit from a close working relationship with leading scholars throughout their studies.

Learn more about how to enrol in the program

Admission to the Program

The PhD program in Economic Analysis and Policy is looking for accomplished graduate and undergraduate students with degrees in Economics, Statistics, Mathematics / Applied Mathematics or other quantitative fields. Successful applicants demonstrate their excellence through outstanding grades, top scores on standardized test, and quantitative research skills.

Courses offered in the PhD program

PhD Courses

Learn more about the program structure and requirements

Program Structure and Requirements

The Rotman PhD in Economic Analysis and Policy is a challenging program, providing effective training for an academic career. The program includes a full year of mandatory microeconomic, macroeconomic and econometrics courses, a year of economic field courses, a research project, comprehensive examinations and a final dissertation.

Meet our faculty

The Economic Analysis and Policy faculty at the Rotman School are experts in using economic theory and quantitative methods to analyze business enterprises and the factors contributing to the diversity of organizational structures and the relationships of firms with labour, capital and product markets. The Rotman PhD is ranked in the top 10 in the world, and you will be studying from some of the top experts in this academic area.

PhD students currently studying at Rotman

Current PhD Students

Meet the students in the new Economic Analysis and Policy PhD at the Rotman School of Management. Rotman has one of the world's top ranked doctoral programs and is also in the top 10 for faculty and research.

Faculty working in Economic Analysis and Policy

Faculty by Research Focus

As a PhD student at the Rotman School of Management, you will work closely with faculty that share your research interests, are working on similar areas, or can provide a new perspective. Find out about Economic Analysis and Policy faculty in your particular area of specialization.

The Rotman School of Management is accredited by the Association to Advance Collegiate Schools of Business (AASCB)

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  • How to Prepare for a Ph.D. in Economics

First Steps

  • How to prepare for a PhD in Economics
  • The key thing you need to know is that PhD programs in economics are highly mathematical and the mathematics required by both our Economics and Management Science degrees is not enough to get you into a top PhD program. To be a competitive applicant, you will need to take some upper division mathematics classes such as how to write proofs (Math 109), linear algebra (Math 102), real analysis (Math 140A or 142AB), probability (Math 180A) and statistics (Math 181AB).  See more below.
  • Graduate schools care a lot about the difficulty and content of the classes you’ve taken. Getting a high GPA won’t necessarily get you into a good program unless they are the right classes.
  • If you want to get into a top PhD program, it is especially important to take real analysis (Math 142AB or Math 140ABC—likely Math 140A is enough) and do well in the class. Real analysis teaches you how to write and understand proofs.  These skills will be important to your success in first-year graduate courses as well as in your research career.  Since real analysis tends to be a difficult course everywhere, your grade in this course is often taken as a key signal of your ability to succeed in a PhD program by admissions committees. If possible, try to take this course when you don’t have a lot of other commitments so that you can devote a significant amount of time to this course, learn the material well and get a good grade.
  • Other upper division mathematics and statistics courses are also helpful. In particular, understanding linear algebra is important in graduate-level econometrics courses. Therefore, taking Math 18 and Math 102 (lower and upper division linear algebra courses) can give you a strong foundation in these topics.
  • It is also important to have a strong foundation in statistics and probability theory. You will learn a lot of this in the econometrics sequence (if you are interested in pursuing graduate school, you should consider taking the honors classes 120AH-BH-CH). Another class to add to your statistics foundation would be a course in probability (Math 180A).
  • In general, if you are interested in going to graduate school in Economics, you should seriously consider majoring in Joint Mathematics-Economics. This major will undoubtedly increase your workload, but it will both make you a more attractive applicant for graduate school and give you the mathematical foundation needed to succeed in graduate school. Students who took many math classes in while in high school should consider double majoring in math and economics.
  • If you have exhausted your undergraduate opportunities to take classes in math and economics, consider taking a graduate class. Taking graduate courses in economics or mathematics can send a strong signal to admissions committees. This can be slightly risky, however. Undergraduates may be at a disadvantage as graduate students tend to form study groups for first year courses. If you decide to take a graduate course, you should plan on devoting A LOT of time to the course.  Again, it is extremely important that you to do well in a graduate class.
  • Coding is an essential skill to have in graduate school. Therefore, taking courses with a data analysis and coding component (for example, Econ5/Poli5D: Introduction to Social Data Analytics, Econ 112: Macro Data Analysis and Econ 121: Applied Econometrics) can help develop your coding skills. The most popular statistical packages in economics are STATA, R, and MATLAB. If you have the time, it may also be a good idea to take an introduction to programming course from the computer science department.
  • Courses that have a research component (Econ 191A-B and Econ 199) will also be invaluable preparation for graduate school. By developing your own research topic, you can learn about each step of the research process: from topic selection, background research, data management all the way to analysis and writing. Selecting an empirical topic is especially encouraged as it will give you valuable experience cleaning and analyzing data and getting more comfortable with various data analysis software. This might also be a good indication of whether a career in research is a good fit for you personally. Finally, the Professor teaching Econ 191AB will get to know you and how you tackle problems very well and so be able to write the kind of informed letter of recommendation that graduate schools like to see.

To summarize, in order to prepare for graduate school, it is extremely important to take the right courses and do well in them. To be competitive, you will need to have a record of performing well in difficult mathematics and economics courses.  

  • Why earn a PhD in Economics?
  • Talking to a UCSD grad: ECONnected

Economics and Data Analysis

Doctor of economics and data analysis.

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A career accelerator for future leaders in applied economics.

The Doctor of Economics and Data Analysis (DEDA) is a groundbreaking interdisciplinary program that transcends traditional economic theory by blending in-depth knowledge of data science and applied economics with real-world problem-solving. With an emphasis on translational research and interdisciplinary collaboration, DEDA sets itself apart from other economics programs. Beyond developing technical skills, the program highlights the importance of leadership and collaboration, preparing you to communicate effectively with diverse audiences and lead multidisciplinary teams in making data-driven decisions and implementing innovative solutions to complex economic and societal challenges.

The DEDA program offers a career-friendly, non-dissertation-based degree tailored for working professionals seeking to advance their careers in economics and the analysis of economic data. With options for online learning and intensive in-person experiences, the curriculum offers flexibility for working professionals. Our goal is to cultivate expertise in data analytics, promote leadership and innovation, and hone practical problem-solving skills. By equipping students with these essential tools, the DEDA program prepares them to become future leaders across the public, private, and nonprofit sectors.

Program Highlights

  • Career Accelerator: Unlike traditional PhD programs, DEDA is a non-dissertation program designed for professionals looking to establish or advance their careers outside of academia. The transdisciplinary approach provides invaluable experience working with experts from a variety of backgrounds, just as you do in professional settings.
  • Purpose-Built Curriculum: The DEDA curriculum not only provides the most advanced training in economics and data analytics, but also teaches practical application by developing communication and leadership skills.
  • Real-World Impact: The DEDA program is designed to equip you with the skills to address complex economic issues, foster innovation, and drive positive change. This is achieved by emphasizing the application of economic principles and data analytics to real-world situations, while encouraging interdisciplinary collaboration and problem-solving.

Program At a Glance

UNITS 64 units



COURSES BEGIN Spring and Fall

The DEDA program equips you to become a translational researcher, capable of thinking and performing in an integrated, interdisciplinary manner. It prepares you to step into the role of an innovative investigator, forging new paths in your field. Upon successful completion of the DEDA program, you will be able to:

  • Articulate the key theories, principles, and concepts in economics, and critically assess their practical value and application
  • Demonstrate fluency in statistical techniques, as well as machine learning techniques, for applied economics
  • Analyze and interpret complex data sets using econometric and machine learning algorithms, including crawling online content and defeating data hurdles
  • Develop and submit grant proposals, create pre-analysis plans, and generate grant reports/interim reports for research projects
  • Write reports on technical topics for a non-technical audience, effectively communicating complex concepts in economics and data analytics, and collaborate with practitioners, policymakers, and other stakeholders to ensure practical relevance and applicability
  • Exhibit leadership skills in translational research, including the creation and use of new curricular elements and approaches, critical examination of research processes and methods, and leadership roles in a multidisciplinary collaboration aimed at problem-solving

DEDA consists of 64 units. You can complete your degree within 28 months, incorporating 5 semesters and 3 pre-semester summer intensives. Your coursework will include core courses, advanced topics, interdisciplinary courses, and a capstone project.

Transdisciplinary Core Courses (6 units) A unique feature of CGU professional doctorate programs is a shared Transdisciplinary core curriculum created to prepare business leaders. You will learn and collaborate with a diverse cohort of industry professionals on applied projects.

Students can choose 3 of the following courses:

  • Leading Change and Innovation (2 units)
  • Transdisciplinary Collaboration and Communication (2 units)
  • Action in Crisis (2 units)
  • Stakeholder Problem-solving (2 units)
  • Systems-thinking (2 units)
  • Diversity and Team Leadership (2 units)

Core Courses (16 units)

  • Game Theory and Asymmetric Information (4 units)

Field course (select 3 courses, 4 units each) from one of the following fields:

  • International and Economic Development Policy
  • Applied Micro: Behavioral and Experimental Economics
  • Applied Micro: Crime and Law Economics

Data Analysis (24 units)

  • Computational Tools for Social Sciences (4 units)
  • Econometrics I (4 units)
  • Econometrics II (4 units)
  • Data Visualization (4 units)
  • Causal Modeling, Machine Learning & Big Data (4 units) OR Math of Machine Learning (4 units)
  • Time Series Analysis (4 units)

Practicum (10 units)

  • Practicum: Foundation (2 units)
  • Practicum: Intermediate & Advanced Skills (2 units each, taken two times)
  • Practicum: Integration and Application (2 units each, taken two times)

Capstone (8 units)

  • Capstone: Proposal (2 units)
  • Capstone: Progress (2 units)
  • Capstone: Completion (4 units)

Your work will be assessed through course exams, research papers, presentations, group projects, practicum, and a capstone project. DEDA does not require a dissertation.

Who Should Apply

Our DEDA degree was designed for working professionals who hold a master’s degree in economics or a related field and want to advance their careers outside of academia and research positions. In some cases, high-quality students with a BA/BS in economics or a related field, and at least 3 years of professional work experience, may be admitted. Your cohort may include students who hold jobs such as:

  • Budget Analyst
  • Consumer Behavior Scientist
  • Data Scientist
  • Investment Banker
  • Statistician
  • Vendor Manager

Faculty & Research

C. Mónica Capra profile image

C. Mónica Capra

Professor of Economic Sciences

Research Interests

Experimental Economics, Behavioral Economics, Neuroeconomics

Mark Abdollahian profile image

Mark Abdollahian

Full Clinical Professor

Strategic Decision Making, International Political Economy, Sustainable Development

Gregory DeAngelo profile image

Gregory DeAngelo

Associate Professor of Economic Sciences Director, Computational Justice Lab

Law, Political Economy, Public Choice

Affiliated with

Computational Justice Lab

Robert Klitgaard profile image

Robert Klitgaard

University Professor

Public Policy, Economic Strategy, Institutional Reform, Corruption

Tyler Reny profile image

Assistant Professor

American Politics, Racial and Ethnic Politics, Political Behavior, Public Opinion, Political Psychology

Joshua Tasoff profile image

Joshua Tasoff

Associate Professor of Economic Sciences

Behavioral Economics, Experimental Economics, Animal Welfare Economics

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  • Dissertation Areas and Joint PhD Programs
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  • PhD in Accounting
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PhD in Econometrics and Statistics

  • PhD in Economics
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  • PhD in Management Science and Operations Management
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  • Joint Program in Financial Economics
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  • Joint PhD/JD Program

The Econometrics and Statistics Program provides foundational training in the science of learning from data towards solving business problems. Our students engage in extensive collaborative research on cutting-edge theory in Econometrics, Statistics and Machine Learning as well in applied research from a variety of fields within Booth (such as finance, marketing or economics).

Our program builds on a long tradition of research creativity and excellence at Booth.

Our PhD students become active members of the broad, interdisciplinary and intellectually stimulating Booth community. The program is ideal for students who wish to pursue an (academic) research career in data-rich disciplines, and who are motivated by applications (including but not limited to economics and business). As our PhD student, you will have a freedom to customize your program by combining courses at Booth (including business-specific areas such as marketing, finance or economics) with offerings at our partnering departments at the University of Chicago (Department of Statistics and Kenneth C. Griffin Department of Economics). You will acquire a solid foundation in both theory and practice (including learning theory, Bayesian statistics, causal inference or empirical asset pricing).

Our Distinguished Econometrics and Statistics Faculty

Chicago Booth’s Econometrics and Statistics faculty are committed to building strong collaborative relationships with doctoral students. We serve as research advisors and career mentors. Major areas of departmental research include: learning theory; causal inference; machine learning; Bayesian inference; decision theory; graphical models; high dimensional inference; and financial econometrics.

Aragram Byron

Bryon Aragam

Assistant Professor of Econometrics and Statistics and Robert H. Topel Faculty Scholar

professor nabarun deb

Nabarun Deb

Assistant Professor of Econometrics and Statistics

Christian B. Hansen

Christian B. Hansen

Wallace W. Booth Professor of Econometrics and Statistics

Tetsuya Kaji

Tetsuya Kaji

Associate Professor of Econometrics and Statistics and Richard Rosett Faculty Fellow

Mladen Kolar

Mladen Kolar

Associate Professor of Econometrics and Statistics

Tengyuan Liang

Tengyuan Liang

Professor of Econometrics and Statistics and William Ladany Faculty Fellow

Nicholas Polson

Nicholas Polson

Robert Law, Jr. Professor of Econometrics and Statistics

Veronika Rockova

Veronika Rockova

Professor of Econometrics and Statistics, and James S. Kemper Foundation Faculty Scholar

Jeffrey R. Russel

Jeffrey R. Russell

Alper Family Professor of Econometrics and Statistics

Smetanina Ekaterina (Katia)

Ekaterina (Katja) Smetanina

Assistant Professor of Econometrics and Statistics and Asness Junior Faculty Fellow

Pantagiotis (Panos) Toulis

Panagiotis Toulis (Panos)

Associate Professor of Econometrics and Statistics, and John E. Jeuck Faculty Fellow

Dacheng Xiu

Dacheng Xiu

Professor of Econometrics and Statistics

A Network of Support

Booth’s Econometrics and Statistics group has been partnering with several (data science and interdisciplinary) research centers and institutes that facilitate the translation of research into practice. Through these venues, our PhD students can foster a strong research community and find additional resources including elective courses, funding for collaborative student work, and seminars with world-renowned scholars.

Data Science Institute at the University of Chicago The Data Science Institute executes the University of Chicago’s bold, innovative vision of Data Science as a new discipline by advancing interdisciplinary research, partnerships with industry, government, and social impact organizations. Center for Applied Artificial Intelligence The Center for Applied AI incubates transformative projects that fundamentally shape how humans use AI to interact with each other and the world. The Center’s innovative research uses machine learning and behavioral science to investigate how AI can best be used to support human decision-making and improve society. Toyota Technological Institute at Chicago Toyota Technological Institute at Chicago (TTIC) is a philanthropically endowed academic computer science institute, dedicated to basic research and graduate education in computer science. Its mission is to achieve international impact through world-class research and education in fundamental computer science and information technology. The Institute is distinctive to the American educational scene in its unique combination of graduate education and endowed research.

The Becker Friedman Institute for Economics With a mission of turning evidence-based research into real-world impact, the Becker Friedman Institute brings together the University of Chicago’s economic community. Ideas are translated into accessible formats and shared with world leaders tasked with solving pressing economic problems. Committee on Quantitative Methods in Social, Behavioral and Health Sciences This is an interdisciplinary community of faculty and students interested in methodological research in relation to applications in social, behavioral, and health sciences. The goals are to create an intellectual niche, exchange research ideas, facilitate research collaborations, share teaching resources, enhance the training of students, and generate a collective impact on the University of Chicago campus and beyond. The Institute for Data, Econometrics, Algorithms, and Learning The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) is a multi-discipline (computer science, statistics, economics, electrical engineering, and operations research) and multi-institution (Northwestern University, Toyota Technological Institute at Chicago, and University of Chicago) collaborative institute that focuses on key aspects of the theoretical foundations of data science. The institute will support the study of foundational problems related to machine learning, high-dimensional data analysis and optimization in both strategic and non-strategic environments.

The Fama-Miller Center for Research in Finance Tasked with pushing the boundaries of research in finance, the Fama-Miller Center provides institutional structure and support for researchers in the field. James M. Kilts Center for Marketing The Kilts Center facilitates faculty and student research, supports innovations in the marketing curriculum, funds scholarships for MBA and PhD students, and creates engaging programs aimed at enhancing the careers of students and alumni.

Scholarly Publications

Our PhD students' research has been published in top journals including Econometrica, Journal of Royal Statistical Society, Journal of Econometrics, Neural Information Processing Systems and Journal of Machine Learning Research. Below is a recent list of publications and working papers authored by our PhD students. Modeling Tail Index with Autoregressive Conditional Pareto Model Zhouyu Shen, Yu Chen and Ruxin Shi, Journal of Business and Economic Statistics, (40) 2022 Online Learning to Transport via the Minimal Selection Principle Wenxuan Guo, YoonHaeng Hur, Tengyuan Liang, Chris Ryan, Proceedings of 35th Conference on Learning Theory (COLT), (178) 2022 FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting Boxin Zhao, Samuel Wang and Mladen Kolar, Journal of Machine Learning Research, (23) 2022 Approximate Bayesian Computation via Classification Yuexi Wang, Tetsuya Kaji and Veronika Rockova, Journal of Machine Learning Research (In press), 2022 Reversible Gromov-Monge Sampler for Simulation-Based Inference YoonHaeng Hur, Wenxuan Guo and Tengyuan Liang, Journal of the American Statistical Association (R&R). 2021. Data Augmentation for Bayesian Deep Learning Yuexi Wang, Nicholas Polson and Vadim Sokolov, Bayesian Analysis (In press), 2022 Pessimism Meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning Boxiang Lyu, Zhaoran Wang, Mladen Kolar and Zhuoran Yang, In Proceedings of the 39th International Conference on Machine Learning (ICML), (162) 2022 Optimal Estimation of Gaussian DAG Models Ming Gao, Wai Ming Tai and Bryon Aragam, International Conference on Artificial Intelligence and Statistics (AISTATS), (151) 2022 Multivariate Change Point Detection for Heterogeneous Series Yuxuan Guo, Ming Gao, and Xiaoling Lu, Neurocomputing, (510) 2022 Disentangling Autocorrelated Intraday Returns Rui Da and Dacheng Xiu, Journal of Econometrics (R&R), 2021 When Moving-Average Models Meet High-Frequency Data: Uniform Inference on Volatility Rui Da and Dacheng Xiu, Econometrica, (89) 2021 Efficient Bayesian Network Structure Learning via Local Markov Boundary Search Ming Gao and Bryon Aragam, Advances in Neural Information Processing Systems (NeurIPS), (34) 2021 Structure Learning in Polynomial Time: Greedy Algorithms, Bregman Information, and Exponential Families Goutham Rajendran, Bohdan Kivva, Ming Gao and Bryon Aragam, Advances in Neural Information Processing Systems (NeurIPS), (34) 2021 Variable Selection with ABC Bayesian Forests Yi Liu, Yuexi Wang and Veronika Rockova, Journal of the Royal Statistical Association: Series B, (83) 2021  A Polynomial-time Algorithm for Learning Non-parametric Causal Graphs Ming Gao, Yi Ding, and Bryon Aragam, Advances in Neural Information Processing System (NeurIPS), (33) 2020 Uncertainty Quantification for Sparse Deep Learning Yuexi Wang and Veronika Rockova, International Conference on Artificial Intelligence and Statistics (AISTATS), (2018) 2020 Direct Estimation of Differential Functional Graphical Models Boxin Zhao, Samuel Wang and Mladen Kolar, Advances in neural information processing systems (NeurIPS), (32) 2019

The Effects of Economic Uncertainty on Financial Volatility: A Comprehensive Investigation Chen Tong, Zhuo Huang, Tianyi Wang, and Cong Zhang, Journal of Empirical Finance (R&R), 2022

Spotlight on Research

Econometrics and statistics research from our PhD students and faculty is often featured in the pages of Chicago Booth Review .

Machine Learning Can Help Money Managers Time Markets, Build Portfolios, and Manage Risk

Research by Chicago Booth’s Dacheng Xiu and others suggests that today’s computers can predict asset returns with an unprecedented accuracy.

How (In)accurate Is Machine Learning?

Three Chicago Booth researchers quantify the likelihood of machine learning leading business executives astray.

The 300 Secrets to High Stock Returns

Research by Guanhao Feng, PhD ’17, Booth’s Dacheng Xiu, and others suggests that the hunt for investable factors has gone too far.

Inside the Student Experience

Damian Kozbur, PhD ’14, says PhD students at Booth have the flexibility to work on risky problems that no one else has examined.

Damian Kozbur

Video Transcript

Damian Kozbur, ’14: 00:01 I went to graduate school in order to develop econometrics tools in conjunction with machine-learning tools in conjunction with economic theory in order to do inference for economic parameters. When you work in high dimensional estimation and you're dealing with problems where the number of variables you're looking at can potentially be in the millions, there's no way to visualize what's going on. Demands now really require that you can handle huge datasets. There's something really satisfying about studying a problem and studying it well. I would say Booth is an excellent place to do it. You have the flexibility to work on really risky problems where you're trying to navigate this landscape that nobody's ever really looked at before. You have an opportunity to dig deeper. You have an opportunity to be rigorous. The faculty is there to help you. They're trying to figure out the same kinds of problems. Things that you figure out cannot always be visualized and it cannot always be easily understood. That doesn't necessarily mean that it's not practical or not useful.

Damian Kozbur, ’14: 01:08 There's an incredible explosion in terms of the amount of data we have on everything. There is an incredible explosion in terms of our understanding of high dimensional econometrics. If you're doing innovative work right now, it will have an impact.

Current Econometrics and Statistics Students

PhD students in econometrics and statistics apply statistical methods to a wide range of business problems, from the effectiveness of machine-learning tools to video-game preferences. Our graduates go on to work in high-profile institutions, generally in academia, finance, or data science.

Current Students

Y ifei Chen Rui Da

Chaoxing Dai

Wenxuan Guo

Shuo-Chieh Huang

Shunzhuang Huang So Won Jeong

Boxiang (Shawn) Lyu Edoardo Marcelli

Zhouyu Shen

Shengjun (Percy) Zhai

Current Students in Sociology and Business

Jacy Anthis

Program Expectations and Requirements

The Stevens Program at Booth is a full-time program. Students generally complete the majority of coursework and examination requirements within the first two years of studies and begin work on their dissertation during the third year. For details, see General Examination Requirements by Area in the Stevens Program Guidebook. Download the Guidebook here

phd economic analysis

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phd economic analysis

Preparing for a PhD in Economics

The minimum requirements of the Economics undergraduate major are not designed to be training for doctoral economics programs. Students who plan to continue their education should take more quantitative courses than the minimum required for the major. Preparation should start early in your undergraduate education. In addition to the information below, we recommend visiting the Career Center and the Career Library for additional graduate school planning resources.

Students who plan on going on to graduate school should participate in research as an undergraduate, and plan on writing an honors thesis during their senior year. NOTE: For students who completed P/NP courses in 2020-2021, we recommend reviewing this statement from the Council of Deans which reaffirms UC Berkeley's Graduate Division committment to a holistic review.

Course recommendations

  • Math 53 and Math 54 (multivariable calculus and linear algebra)
  • Economics 101A-B, the quantitative theory sequence
  • Economics 141, the more quantitative econometrics course
  • Additional math and statistics courses (linear algebra, real analysis, probability, etc.)
  • Additional economics courses that emphasize theory and quantitative methods, such as Economics 103, 104, and 142.

Upper-division math and statistics courses for those who are adequately prepared (in order of importance)

  • Math 110, Linear Algebra
  • Math 104, Introduction to Analysis
  • Stat 134, Concepts of Probability
  • Stat 150, Stochastic Processes
  • Math 105, Second Course of Analysis
  • Math 170, Mathematical Methods of Optimization
  • Stat 102/Stat 135, Linear modeling Theory and Applications
  • Stat 151A, Statistical Inference
  • Math 185, Introduction to Complex Analysis

Graduate math and statistics courses for those who are adequately prepared (in order of importance)

  • Math 202A/202B, Introduction to Topology
  • Stat 200A/200B,Introduciton to Probability and Statistics at an Advanced Level; graduate version of 101/102 sequence, not much more difficult, but harder than 134/135
  • Stat 205A/205B,Probability Theory; graduate probability, much higher level than 200A/200B

Please note: This is just a recommendation; not all courses are required. Admissions requirements vary by university and by program. Students interested in pursuing graduate school should begin gathering information from prospective programs as early as possible.

Post-Baccalaureate Research Opportunities

Pursuing research after completing an undegraduate degree is a great option for students who would like to gain more experience prior to graduate school. Post-baccalaureate research opportunities can be found through the  National Bureau of Economic Research (NBER)  and PREDOC: Pathways to Research and Doctoral Careers . For research opportunities outside of the NBER,  click here  and  follow @econ_ra  on Twitter.

Graduate School Preparation Additional Resources

http://www.aeaweb.org/resources/students/grad-prep/considerations/  (Considerations for prospective graduate students in Economics)

https://www.aeaweb.org/resources/students/schools/  (Alphabetical list of U.S Graduate Programs in Economics)

https://www.aeaweb.org/about-aea/committees/cswep/programs/resources/events2  (Conferences, events and fellowships through the American Economic Association)

https://www.aeaweb.org/about-aea/committees/aeasp (American Economic Association Summer Training Program, AEASP)

PhD in Economics

The doctoral program in economics provides students with a sophisticated and critical grounding in economic analysis, so that they can contribute creatively to research, teaching, and social policy. This commitment has gained the department an international reputation as a center for research in innovative approaches to economics.

The entering graduate class consists of ten to twelve students each year. The focus of the department, as well as its policy of maintaining small classes and promoting close contact between faculty and students, has permitted the program to attract talented students on a par with other highly selective graduate programs in the country.

The graduate program in economics is primarily designed for doctoral candidates, but a master of arts in economics can be awarded along the way. 

Application information & deadlines

January 15, 2024.

Gain critical grounding in economic analysis and innovative economic theory so you can contribute creatively to research, teaching, and social policy.

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Preparation for PhD

Preparation for phd program.

Applications for Ph.D. programs are due early, often in Fall of the year preceding admission. There is big advantage in future success in enrolling in the best program(s) that will admit you. You should apply to a number and range of programs to hedge your bets and because a certain element of chance is involved.

Key information for admission includes:

  • Overall GPA
  • Letters of recommendation.  This component is essential. A letter that says only that you have a good overall GPA is not helpful because it adds nothing to what is already in the transcript. A constructive letter says that the professor has known you for some time, and thinks you are a mature and smart person capable of independent research.
  • Any research experience (as an undergraduate or in [postgraduate employment) or substantive essays in coursework.
  • Performance on the GRE if required . Take the test before Fall. If advisors know your score, then they can give you a better idea of how high to shoot. And if you don't like your score, you have time for a retake.

To obtain the most useful recommendation letter, you need to develop a relationship with the professor writing a letter. Ways to do this include working (as a reader or TA), attending office hours often, interaction in class, taking more than one class from the same professor, and writing a term paper or honors thesis. Tell the professor about the range of schools in which you are interested. Information to give the professor typically includes: transcript (most professors will accept a photocopy, but ask first); statement of purpose; other personal information relevant to explaining your goals and parts of your past that you would like to be highlighted (or downplayed); and written work from the class, such as essays or exams that can give more information than just the recorded score. Try to give the recommendation forms to be completed by the professor in a packet rather than one school at a time.

More Information on a Ph.D. in Economics

The preceding information is relevant for Ph.D. degrees in a range of economics-related fields including Economics, Public Policy, Health Policy, Business and Finance.

Economics Ph.D. programs are oriented to people seeking careers in academia or the government. The American Economic Association website is a good reference for Ph.D. study in economics. Ph.D. students do course work for the first two or so years before moving to the thesis. If you don't go on to the thesis, you can usually get a master's degree as a consolation prize. A thesis takes a long time, and five years is a quick time to complete the Ph.D. If you want to pursue a Ph.D. degree and are well prepared coming out of UC Davis, then apply for admission to a Ph.D. program and not a master's degree program.

Admission to the better Ph.D. programs comes with four-five years of funding sufficient to cover tuition and living expenses, in return for working 20 hours a week as a teaching assistant (TA) or resident advisor (RA).

Graduate programs in economics are very mathematical by comparison to undergraduate programs, and lack of mathematical ability is a key indicator of failure. The economics section of the GRE is much less important. Consequently, a key admission criterion is what math classes you have taken.

  • A minimum preparation for a PhD in Economics or in Data Analysis is: Lower division advanced calculus (MAT 21A-D), linear algebra (MAT 22A/AL or MAT 67), probability and statistics (STA 130A-B or the more advanced 131A-B), and econometrics (ECN 140). 
  • Entry into a top 50 Economics Ph.D. is exceptionally competitive and you need some upper division mathematics. The courses to take are, in order: Abstract Mathematics (MAT 108), Real Analysis (MAT 127A-B), and Probability Theory (MAT 135A). If you take MAT 135A then you need not take STA 130A-B or 131A-C. A minor in Mathematics is 20 upper division units. Other courses to consider are Stochastic processes (MAT 135B) and Partial Differential Equations (MAT 118A). If you complete most of these math upper division courses before your last year at Davis, you can talk to the instructor of ECN 239 (only offered in fall) and see if you can be admitted to take one first-year PhD course together with our own PhD students. Satisfactory performance in a PhD course and a letter from the instructor can help with your application.

An overview of undergraduate courses at U.C. Davis in Economics, Statistics, Computer Science, and Communications especially useful for data analysis is provided here .

phd economic analysis

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"We live on an island surrounded by a sea of ignorance. As our island of knowledge grows, so does the shore of our ignorance." John Archibald Wheeler.

The ESSEC PhD program in Economics offers a strong foundation in economic theory and equips doctoral students with the analytical and statistical tools needed for top-quality research. In a unique collaboration, this program is jointly administered by the department of economics in ESSEC and THEMA research center in CY Cergy Paris Université, a renowned institution in France for its expertise in the field of economics.

Our program is designed to develop a range of essential skills, including a deep understanding of economic theory and analysis, the ability to create advanced models using the highest scientific standards, and expertise in data analysis through state-of-the-art econometric methods and tools.

Overview of the Program

In the first two trimesters of the program, doctoral students engage in standard coursework designed for the first year of an economics PhD program. This coursework includes classes in the core areas of microeconomics, macroeconomics, and econometrics. Additionally, students have the opportunity to explore elective courses in specializations such as industrial organization, international economics, public policy, and environmental economics. During the third trimester of their first year, students focus on completing a thesis under the guidance of a faculty advisor. Upon successfully finishing their first year, students receive a Master's degree in economics (M2 in the French system) from ESSEC and CY Cergy Paris Université.

More information on the first-year courses

In their second year, after taking advanced core courses and passing the preliminary exams in microeconomics, macroeconomics, and econometrics, PhD students continue with elective courses tailored to their chosen specializations. The third year marks the beginning of an intensive research phase for the PhD candidates. It commences with the presentation of a thesis proposal before a jury comprising their thesis advisor and other faculty members. This period is dedicated to in-depth research, ultimately leading to the completion and defense of their PhD theses, marking the culmination of their doctoral journey. After completing all requirements of the program, a candidate receives a PhD degree from ESSEC Business School and a French doctorate from the joint doctoral school of ESSEC and CY Cergy Paris Université.

ESSEC Business School offers full-tuition scholarships and a tax-free stipend covering living expenses for the first four years of the program. This financing can be extended for an additional year in the form of an associate lecturer contract.

Specializations include

  • Industrial Organization
  • International Economics
  • Public Policy
  • Environmental Economics

The department of economics in ESSEC is affiliated with THEMA research center in economics and management science, which is a partnership involving the CY Cergy Paris Université and the prestigious French National Centre for Scientific Research (CNRS).

Our esteemed ESSEC faculty members are renowned for their diverse areas of expertise in economic research, covering microeconomics, macroeconomics, industrial organization, international trade and finance, experimental economics , health economics, development, and game theory. They consistently contribute to the academic community by publishing articles in highly respected scholarly journals, as well as authoring books, chapters, and economic reports. ESSEC professors maintain a global presence by engaging in collaborative research with colleagues from around the world, actively participating in academic conferences, and serving as board members for international academic journals.

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Placement of Alumni

Queen Mary University, Shanxi University of Finance and Economics, London School of Economics, Bocconi University, Paris School of Business, Trinity College Dublin, University College Dublin, European Central Bank, University of Luxembourg, National Bank of Korea, Shandong University, Zhongnan University, Korea Development Institute, CBN Research Institute, Shanghai, The Bank of Israel.

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Department of Economics College of Business Department 3985 Laramie, WY 82071 Phone: 307-766-3124 Fax: 307-766-4028 Email: [email protected]

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PhD in Economics

The UW Ph.D. in economics offers a fully funded, cohort-based doctoral program for students seeking a small and collaborative community. In this supportive environment, you can choose your research focus, gain experience working on faculty projects both here and abroad, and develop teaching skills as the instructor of record for an undergraduate course.

The PhD in economics program is designed to equip the student for professional research in university, government, or industry positions. Applicants to the program must complete, or have previously completed, course work that satisfies the PhD prerequisite courses listed on the Graduate Admissions webpage .

About Economics at UW

The University of Wyoming has long been a place where pioneering researchers have developed and advanced the field of environmental economics.

Today, the UW Department of Economics continues its expertise and research in environmental and resource economics, while also pushing the boundaries of other fields, such as behavioral and experimental economics, development economics, energy economics, industrial organization and international trade.

In addition to offering a rigorous background in economic theory and econometrics, the UW doctorate in economics program gives you the flexibility to specialize, work across sub-disciplines, undertake interdisciplinary analyses, collaborate with faculty on existing research projects and delve into your own scholarship.

Collegial and student-centric, this program is purposeful in integrating students in the research process to prepare them for a successful research career. Students regularly publish research from their collaborations with faculty members ( see list ), and the record of our graduates rank among the top 1% globally ( IDEAS ). For instance, a recent student-faculty collaboration led to a study that appeared in the prestigious Proceedings of the National Academy of Science ( story ).

In terms of faculty research productivity and impact, UW’s Department of Economics ranks in the top 20 among U.S. economics departments in both experimental and environmental economics, and ranks in the top 35 for energy economics. ( RePEc ).

In terms of research by program graduates, UW’s Economics PhD program ranks among the top 1% of programs in the world. It ranked 13th in the U.S. and 66th internationally ( RePEc ).

Need more information about our graduate degrees in Economics?

Fill out inquiry form and our program coordinator will be in touch! If you're ready to apply, click here for admission requirements .

Learn more about the PhD in Economics program but reading our FAQs and program highlights below.

As a Ph.D. student in economics, you will be part of a program that is deeply committed to collaboration, student engagement and fostering each individual student’s growth. You will have the opportunity to teach undergraduate economics courses, collaborate with faculty on research projects and develop as a scholar in your own right.

These are some characteristics that distinguish our program:

  • Cohort-based. Become part of a small peer group of students that promotes learning together rather than competing. Students are not admitted to work with a particular professor, “lab” or project .  Instead, our individualized program enables you to pursue various interests and faculty relationships during your coursework before defining your dissertation focus, advisor and committee.
  • Flexibility. Use your electives and faculty research opportunities to customize the program to your interests and career goals.
  • Modeling-focused. This program uses economic modeling as its backbone, while also providing empirical expertise.
  • Engagement. We facilitate your engagement with the field of economics and policy by bringing scholars to campus for seminars and individual discussions; offering opportunities for conducting fieldwork in the U.S. and internationally; providing support for attending workshops and presenting at conferences; and encouraging participation in projects, meetings and workshops with the policy community.
  • Environmental and natural resource economics (including energy economics and interdisciplinary bio-economics)
  • Behavioral and experimental economics
  • International trade
  • Micro, macro and sustainable development economics
  • Five-year graduate assistantships. The UW Department of Economics offers Ph.D. students stipends, tuition and fee waivers and student health insurance in exchange for 20-hours of work/week, which can involve teaching undergraduate economics, assisting on faculty research projects and other duties.
  • Wyoming Women in Economics Network (WWEN) . Take part in networking events, job-search workshops and talks featuring prominent women in economics.
  • Resources . UW is home to an Experimental Economics Lab, the Stroock Forum on Wyoming Lands and People, the Center for Energy Economics and Public Policy and the Journal of Strategic Behavior and the Environment . Learn more .
  • Seminar Series . The UW Department of Economics hosts four seminar series that include The Bugas Frontiers Lectures, Guest Speaker Seminars, Brown Bag Workshops and student-organized graduate student seminars, all of which contribute to the department’s rich intellectual environment.

UW Ph.D. graduates in economics go on to distinguished careers as economists, researchers and academicians all over the world.

These are some examples:

  • Yasha Feferholtz, Ph.D. ’16, is a senior economist at the EcoHealth Alliance.
  • Zafar Dad Khan, Ph.D. ’06, is a professor of economics and finance at The University of Virginia’s College at Wise.
  • Paul Kivi, Ph.D. ’11, is an assistant professor of economics at the University of Minnesota at Morris.
  • Katherine Lee, Ph.D. ’16, is an assistant professor in the Department of Agricultural Economics and Rural Sociology at the University of Idaho.
  • John August List, Ph.D. ’96, is the Kenneth C. Griffin Distinguished Service Professor at the University of Chicago and is co-author of the book, The Why Axis.
  • Sakib Mahmud, Ph.D. ’11, is an associate professor of sustainable management and economics at the University of Wisconsin-Superior.

See where other Ph.D. alumni have built careers.

As an economics Ph.D. degree student at the University of Wyoming, you will take required courses in:

  • Microeconomic Analysis
  • Mathematical Economics
  • Macroeconomic Analysis
  • Econometrics
  • Environmental and Resource Economics
  • Research Methods

During the first year, a foundation in economic theory and the basic quantitative and mathematical tools necessary for professional research is given. Students take a Micro Theory sequence ( ECON 5020 and ECON 5120 ) and an Econometrics sequence ( ECON 5350 and ECON 5360 ), as well as courses in Mathematical Economics ( ECON 5330 ) and Economic Dynamics ( ECON 5130 ).

To progress to the second year, students must earn a B+ grade or higher in all of these courses. If they fail to do so in a Micro Theory course (including Mathematical Economics and Economic Dynamics), they must pass a Micro Theory comprehensive exam instead. Similarly, if they fail to earn a B+ grade or higher in an Econometrics course, they must pass an Econometrics comprehensive exam. Both exams are given during the summer following the first year.

After the first year, all PhD students take a core sequence of one Macroeconomics ( ECON 5010 ) course, two courses in Environmental and Natural Resource Economics, and Research Methods. Additionally, they choose four electives from a menu that varies from semester to semester and is put together with student input. The electives reflect our faculty’s research in areas additional to Environmental and Resource Economics, such as Development Economics, Energy Economics, Behavioral and Experimental Economics, Industrial Organization, and International Trade. For a complete list of the program’s courses, click here . One of the electives may (but need not) be taken outside of the department, for example in Statistics, Mathematics, the Haub School of ENR , or the Energy Management MBA Program at the 5000 level.

The PhD program’s qualifying examination takes the form of a research paper requirement. Students must complete a paper by the end of the summer following their second year, and present that paper to their committee. If the paper and presentation are judged adequate, the student is awarded a Master’s degree in Economics and continues in the PhD program. Otherwise, the student is given one chance to revise and resubmit their paper, by December of their third year. If the revision is still judged inadequate, the student fails out of the PhD program, but may (depending on the quality of the revision) still be awarded a Master’s degree.

During the third year of the PhD program, the student is expected to complete course work and prepare a dissertation proposal. The dissertation committee gives an oral examination based on this proposal, which constitutes the preliminary exam for degree candidacy. We expect students to have received committee approval of their dissertation proposal before entering their fourth year.

During the third year and beyond, the majority of time is devoted to dissertation research. The student must complete a minimum of 30 research credits. The student's Graduate Assistantship entails teaching assistantships, teaching one undergraduate course as the instructor of record, and assisting faculty research projects. Following successful completion of the dissertation, students present an oral defense to their committee. A favorable report from the committee completes the requirements for the doctor of philosophy degree.

For more information please email Dawn Barker , our department's Graduate Coordinator.

Years 4 & 5

Ph.D . Program

With leading researchers in economic theory, econometrics, international economics, and macroeconomics, the Economics Department at Penn State is an outstanding department (faculty areas of interest may be found here) .  Students who receive a Ph.D. from Penn State and whose doctoral research is excellent have been recruited and sought after by leading academic and research institutions: our Ph.D. students have obtained tenure-track positions at Chicago, Harvard, Johns Hopkins, MIT, Northwestern, NYU, UPenn and many more.  Our recent placements of students at different universities may be found here .

There are several reasons Penn State has excellent placement, and is a special place to do graduate school. Graduate student training and placement are priorities for the department, and therefore, our faculty members across fields are widely accessible to graduate students. In addition to many elective classes, there are reading groups within each field, with active involvement from students and faculty. The Department takes very seriously its mission to train the excellent students admitted to our PhD program.

Penn State is located in a pleasant college town setting in the geographic center of Pennsylvania. Although it is in a small town, it is not isolated intellectually. There is an active program of visiting speakers in five separate workshops. In addition, the department hosts conferences across several fields. There is a twice yearly joint Penn State-Cornell conference at which graduate students make about half the presentations. The Department also encourages students to present their work at external conferences, and our students present at Meetings of the Econometric Society and other conferences.

STEM Designation Our graduate program (MA and PhD) has been reclassified as STEM (CIP Code 45.0603: Econometrics and Quantitative Economics). Students in STEM degree programs can apply for a 24 month STEM extension of F1 Optional Practical Training (OPT).

Liberal Arts – About the College

Information on the honors code and the college values statement for graduate students available at:

  • College of the Liberal Arts Values Statement
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phd economic analysis

INOMICS Recommendations

Top phd programs in economics.

Read a summary or generate practice questions based on this article with the new INOMICS AI tool here .

If you're looking to choose an economics PhD program , it's important to consider options that match your research interests and personal style. We list a selection of the best PhD programs in economics that are offered by European universities, to help you find the right postgraduate program for you.

Check out our selection below:


Nova SBE PhD Programs

PhD Programs and Nova School of Business & Economics, Carcavelos, Portugal

Programs available:

PhD Positions in Management

Phd positions in ecnomics and finance.

 Nova SBE has two 4-year, full-time structured PhD programs in Economics and Finance / Management, delivered in English.

The Economics and Finance PhD program provides advanced training in the fields of Economics and Finance. The first two years are dedicated to the coursework whereas the subsequent years focus on research. First-year courses are taken jointly. At the beginning of the second year, students should choose their specialization and supervisor.

The Management PhD program provides advanced training in the four key fields: Management and Organization; Marketing; Operations, Technology and Innovation Management; and Strategy and Entrepreneurship. While disciplined and rigorous in training, the program is also flexible, for students to pursue their unique research interests and most challenging careers.

Students are usually affiliated with one of our eight Knowledge Centers. They join its community and its activities. They participate in research seminars and interact with top researchers.

Application deadline:  31 January

PhD in Economics

PhD in Economics at CEMFI, Madrid

Phd in economics.

The  CEMFI PhD Program  prepares students for successful careers as research economics in universities and academic centers as well as in central banks and public and private sector institutions. The program comprises two stages: stage one, coursework; and stage two, research. The coursework stage provides students with state of the art tools to successfully conduct research in an ample range of areas in Economics. The research stage fosters an international academic environment in which students grow to develop an independent and productive career. The typical duration of studies is five to six years.

Students who successfully complete the two stages are awarded the degrees  Master in Economics and Finance  and  PhD in Economics and Government . These official degrees are awarded by the  Universidad Internacional Menéndez Pelayo.

Application deadline:  31 May

Ruhr Graduate School in Economics

Ruhr Graduate School in Economics (RGS Econ), Essen, Germany

Fully funded  phd program in economics.

RGS Econ offers a structured doctoral program in Economics, building on the combined expertise in theoretical, empirical, and applied research of four university economics departments in the Ruhr Valley area of Germany – (Bochum, Dortmund, Essen and Duisburg) – and one of Germany’s leading economic research institutes (RWI - Leibniz Institute for Economic Research). Advanced coursework, a cooperative learning environment, and an extensive research network and infrastructure are geared to support our students in conducting first-rate research and our graduates in obtaining excellent positions in academia, public institutions, and in the private sector.

RGS Econ charges no tuition fees. Accepted students are offered financing for a minimum of three years, which may be in the form of a scholarship or in the form of research and teaching assistant positions.

Application deadline:  24 March

Collegio Carlo Alberto

Collegio Carlo Alberto, Turin, Italy

Phd in economics (four-year) - university of torino.

The Vilfredo Pareto Doctorate in Economics allows students to structure their coursework and write their doctoral dissertation in a number of different areas of economics. After a common set of core courses that take place in the first term of the program (including review courses in mathematics and statistics and advanced courses in microeconomics, macroeconomics and econometrics), students can further prepare for their dissertation work by choosing from a list of elective courses.

All activities take place at the Collegio Carlo Alberto in downtown Torino. Students can benefit from a vibrant and international academic environment and participate in all scientific events. On top of the yearly scholarship (17,500 Euros per year, for four years), they receive yearly research funds and have the possibility to spend part of their third or fourth year abroad as visiting students. There is also the possibility to sign cotutelle agreements with other academic institutions so to obtain a double doctoral degree. 

Application deadline: 31 May

University of Surrey

University of Surrey, Guildford, UK

Doctoral programme in economics (mres+phd).

The University of Surrey’s MRes Economics programme is designed to prepare you for a research career in academia or in international organisations around the world. The course provides the standard entry route to the PhD Economics programme, or you can graduate with a stand-alone MRes degree after one year.

The MRes provides cutting-edge training in micro, macro, econometrics and research methods and is, on successful completion, followed by the PhD programme lasting three to four years with generous studentships available.

You’ll learn from academics at the frontier of their research fields, developing specialist skills and techniques with the benefit of small cohorts and high-quality interaction with our lecturers. Generous studentships are offered for the duration of the MRes/PhD course for those with strong research potential.

Apply by 31st January 2023 to be considered for the first allocation round.

Application deadline:  1 June

Universitat Autònoma de Barcelona

Universitat Autònoma de Barcelona, Cerdanyola del Vallès , Spain

Phd in entrepreneurship and management.

Are you interested in entrepreneurship and management research?  Universitat Autònoma de Barcelona 's PhD Program is dedicated to promoting competitive, international-level research that makes a significant contribution to science and generates new and useful knowledge. This Program has been offered since 1978 as the doctoral program of the Department of Business Economics at the UAB. Over the last forty-five years, students have come from different countries all around the world.

Application deadline: 31 March

See all PhD Programs

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Working in the USA: How to apply for a work visa after graduation

So, you’re studying for your economics degree in the United States of America. It's going well, and you’re enjoying life in the USA, so much that you’re thinking about staying longer and looking for a job in the US.

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Studying in the USA: How to apply for a student visa

So you want to study abroad in the United States of America, the largest economy in the world. In keeping with its “melting pot” reputation, the US has been an education destination for many over the years, and is filled with many high-quality, internationally competitive universities. Of course, if you’re an international student, you’ll probably need to get a visa before you can go.

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  • Nov 24, 2023 Senior Lecturer in Economics


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PhD Position: Economic Analysis, Vrije Universiteit Amsterdam

PhD Position: Economic Analysis: Do you have a keen interest in researching the economics of health risks associated with endocrine disrupting chemicals, including ‘forever chemicals’? Join an interdisciplinary European research project at Vrije Universiteit Amsterdam, working alongside chemists, toxicologists, public health scientists, and risk assessment professionals.


  • Master’s degree in economics or a related social sciences discipline.
  • Strong quantitative skills.
  • Demonstrable interest in social survey methods (interviews, experiments).
  • Proven interest in interdisciplinary work.
  • Good communication skills in English and one other European language.

Job Description:

PhD Position: Economic Analysis of Health Risks of Endocrine Disrupting Chemicals

As a PhD candidate, you will conduct research focused on the economic costs and benefits of national and EU-wide policies and regulations aimed at reducing the risks of endocrine disrupting chemicals (EDCs), including ‘forever chemicals’ like PFAS. Your work will involve data collection through surveys, interviews, and choice experiments to gauge public awareness, experience, perceptions, attitudes, and the sense of urgency regarding EDC risks. Choice experiments will be used to assess public willingness to change lifestyles and behavioral patterns leading to adverse health outcomes, as well as to test different risk communication strategies targeting diverse socioeconomic and sociocultural risk profiles. The goal is to assess social inequalities for future policy and regulation development.

You will be part of a new Horizon Europe project starting in 2024, investigating EDCs’ role in the progression of metabolic dysfunction-associated steatotic liver disease, a global health concern. This project involves collaboration with scientists and practitioners from nine European countries. VU Amsterdam’s Institute for Environmental Studies (IVM) leads the work package on socio-economic and behavioral approaches, responsible for evaluating public support for eliminating EDCs from European markets in alignment with relevant EU legislation. You will collaborate closely with the Economics department at the University of Waterloo, Canada.

Your Duties:

  • Conduct research leading to a PhD thesis.
  • Contribute to project tasks, including organizing workshops and data collection.

What Are We Offering? A challenging position in a socially engaged organization, with a salary in accordance with university regulations. The initial salary is €2,770 (PhD) per month during the first year, increasing to €3,539 (PhD) per month during the fourth year for full-time employment. The initial appointment is for one year, with the possibility of extension for three years following a satisfactory evaluation. Additional benefits include generous leave, holiday allowance, end-of-year bonus, a solid pension scheme, and support for commuting expenses. There is also an option for designing a personalized benefits package.

About Vrije Universiteit Amsterdam: Vrije Universiteit Amsterdam aims to contribute to a better world through outstanding education and groundbreaking research. The university values personal development and commitment to society. It encourages collaboration across different disciplines and backgrounds to drive innovation and generate new knowledge. The VU campus, located in the heart of Amsterdam’s Zuidas district, offers an inspiring environment for teaching and research.

Diversity: The university prides itself on being an inclusive community that values diversity. International activities and welcoming individuals from diverse backgrounds enrich the quality of education and research.

About the Faculty of Science: The Faculty of Science at VU Amsterdam provides an environment where students, PhD candidates, and scientists collaborate to tackle fundamental and complex social issues for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from genetics to pharmaceuticals, the faculty’s teaching and research cover a wide spectrum of natural sciences. Interdisciplinary collaboration with leading research institutes and industry partners is a fundamental aspect of the faculty’s work.

About the Institute: The Institute for Environmental Studies (IVM), established in 1971, is internationally recognized for its high-quality research output in various environmental disciplines and interdisciplinary work. IVM aims to contribute to sustainable development and environmental care through scientific research and teaching. It excels in understanding sustainability problems within their social and economic context. IVM consists of four departments: Environmental Economics, Environmental Geography, Environmental Policy Analysis, and Water and Climate Risk. The department of Environmental Economics plays a pivotal role in enhancing insights into the interaction between the environment and the economy.

How to Apply: If you are interested in this position, please apply via the application button and upload your curriculum vitae and cover letter by 22 December 2023. Job interviews are scheduled for the second half of January 2024. Applicants are encouraged to consider these dates when applying.

Please note that submitting a diploma and a reference check are part of the application process.

Applications received by email will not be processed.

Last Date for Apply: 22 December 2023

Disclaimer: This job post has been created based on the provided details. For further information and to apply, please refer to the official Vrije Universiteit Amsterdam website.


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Engaging in applied economics

Article by Katie Peikes Photo by Kathy F. Atkinson November 09, 2023

High school students get hands-on experience in experimental and applied economics

The field of economics historically has had disproportionately fewer women than men as well as a lack of minority representation. A 2020 economics panel at the Allied Social Science Associations annual meeting said reforms to introductory courses could help solve this problem. 

Work the University of Delaware’s Center for Experimental and Applied Economics is doing with students before college could be key to getting over this hurdle. 

Experimental and applied economics are all about exploring decision-making, behavior and why people make the choices they make. The center has offered a handful of high school and pre-college students volunteer opportunities so they can get an early taste of what it means to conduct research in economics.

“Women and underrepresented groups are less likely to study economics,” said Leah Palm-Forster, an associate professor in applied economics and statistics and the director for the Center for Experimental and Applied Economics. “They’re less likely to continue in the field of economics for graduate school or move into faculty positions. We feel it’s really important, in order to support this pipeline, to think early about K-12 education.”

The two high schoolers and one student taking a gap year who have volunteered and interned with the center within the last year found out about it through connections with UD faculty, staff or through cold emailing the center. Palm-Forster said students joined economic experiments already underway, helping to recruit participants and collect data.

“The real benefit is understanding what it means to do economics, what it means to be an economist,” Palm-Forster said. “I think a lot of times in high school, or even as an undergraduate student, students go to class in a traditional lecture setting and they’re learning about economics but it doesn’t feel as relevant to them personally.”

Learning the ropes

Kevin He, a senior at Newark Charter, was paired with a UD student over the summer to facilitate an economic experiment for the center. They set up a table outside of UDairy Creamery ’s flagship location in Newark to conduct a study on “forever chemicals” (PFAS) and how willing people would be to pay for filters and testing kits.

He said he quickly learned economics is a challenging field. 

“I really learned how difficult it is to maintain one project,” He said. “I learned how difficult it is to prepare for it.”

Something that surprised him was learning it took months for the center to think of a hypothesis and plan around it and that getting people to participate in economic experiments takes time.

But He said the experience opened his eyes to pursuing something economics-based as a career. He even learned a handful of soft skills, such as patience. Not everyone who visited the creamery wanted to take part in the experiment, and He had to accept that.

“I was sitting at a table trying to get people to participate [in the PFAS experiment] for like four to five hours at a time,” He said. “The sheer amount of people turning me down was kind of a reality check and made me be more patient.” 

Aisha Emory, a lab coordinator with CEAE, was his main on-site supervisor. Emory said she noticed He was more reserved when he first started with the center.

“One of the things about being a researcher is you have to get out of that bubble and be a little more social,” Emory said.

And that’s exactly what He did.

“I think his social skills definitely increased,” Emory said. “I noticed more smiles, more laughter, more comfortability around people.”

Pranav Padmanabhan, a University of Chicago sophomore studying mathematics and physics, interned at CEAE from November 2021 to June 2022 while he was taking a gap year. He worked on three different projects, including one inspired by groundwater management challenges in Delaware. 

In that project, researchers studied how people extract scarce resources when there is uncertainty about the abundance of the resource available. That project built on the results from a previous study led by CEAE researchers that was published in the Journal of Economic Behavior and Organization .  

“I got an understanding of what economics field research really looks like,” Padmanabhan said. “There were two aspects to it. There was the aspect of people just playing decision games, and seeing the reactions of people and understanding how that could be used to create models. There’s also the aspect of going out and meeting actual homeowners.”

Padmanabhan himself didn’t go out to meet with homeowners about groundwater, but he got insight into it through reviewing transcripts of homeowners’ conversations with CEAE researchers.

The center has even helped students who may be interested in areas other than economics find a place there. Cara Huang, a senior at Newark Charter, is interested in marketing and business and volunteered with CEAE in August. She created a Google form for volunteers to select their T-shirt sizes. 

“I wanted to get more insights into the business side because that is something I’m personally interested in,” Huang said. “I wanted to get more experience before going to college to really decide to see if this is something I'm going to major in.” 

Huang said that as her schedule permits, she will continue to volunteer with the center throughout the school year.

Building a ‘more inclusive program’

Palm-Forster said CEAE would like to expand the program in the future and work with more high school students. That goes back to the challenge economists have faced of attracting more diverse candidates to their field.

For the program to expand, Palm-Forster said the center needs to reach students who may not have reached out to them first, as Huang, Padmanabhan and He all did.

“Moving forward, we want to build a more inclusive program by partnering with local high schools to engage students who may not be aware of CEAE and the opportunities to use economic experiments to investigate important societal issues,” Palm-Forster said.

Palm-Forster said she wants to identify funding opportunities so high school students can pursue paid internships with the center. That’s especially important, she said, in order to engage students who might rely on income from part-time jobs. 

CEAE’s mission includes nurturing “a diverse and inclusive community” engaged in research and results. To accomplish that mission, economics needs more diversity behind the wheel. Palm-Forster said allowing high school students to gain hands-on experience with the center is a key piece of the puzzle.

“My hope is that it increases diversity in our field over time,” Palm-Forster said. “Of course, we're just one part of this broader mission to do that. But all of these efforts help promote economics and promote our field to a broader group of people.”

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Newcomb Hall, Tulane University School of Liberal Arts

Ph.D. Program in Economics

Ph.D. Program in Economic Analysis and Policy

This Tulane University Economics Department program leads to the degree of Ph.D. in Economics. The program gives students distinctive training designed to make them attractive candidates for employment in universities, government, multilateral organizations, the private sector, and the non-profit sector. This program is relatively new and has graduated two cohorts to date. All of the students in the last two graduating cohorts have all have successfully obtained employment as professional economists in academic institutions, government, or as private sector consultants.

Rigorous STEM field training . The program is small and highly selective. Students will receive extensive training in standard economic theory. The Program is based in the Department of Economics and provides rigorous training in econometrics and economic theory. As a testament to this rigor, the degree is classified as a STEM field by the U.S. Department of Education. This classification also allows international students who graduate from our Ph.D. program to get a total of 29-months for Optional Practical Training.

Applied focus. The program is designed for students who are interested in using economic analysis to investigate real world problems. The program is based in the Department of Economics, but it has an unusually large number of close associations with other organizations in order to foster interdisciplinary outreach in doctoral education. In fact this is the signature characteristic of our program. Through joint faculty appointments, inter-locking directorships, and informal associations, we have built partnerships with other very strong, nationally recognized Tulane University research groups. These include the Stone Center for Latin American Studies, the School of Public Health and Tropical Medicine, the Department of Earth and Environmental Sciences, the Murphy Institute for Political Economy, the Education Research Alliance, the CEQ Institute, the Disaster Resilience Leadership Academy, the Freeman School of Business, the Computer Science Department’s program in Artificial Intelligence, and RAND’s Gulf States Policy Institute. Once students have successfully navigated the standard economics theory courses and passed Preliminary Examinations, they are encouraged to seek out partnerships with one or more of these groups of scholars. The typical Tulane Ph.D. in Economics is an atypical economist. The typical Tulane graduate has taken courses in one or more of these partner programs, authored and submitted research papers for publication with them, and often also received financial support and faculty dissertation mentorship from them.

Small, highly selective program with a high faculty-to-student ratio. We recruit students only in even-numbered years for admission into the odd-numbered ones. The typical cohort size is between 6 and 12 students, but there are currently 21 regular faculty members in the Department. These numbers facilitate very close interaction of students with faculty members who are dedicated to research at the frontiers of their fields. Importantly, we consider that – as part of their training – students should have the opportunity to undertake joint research projects with faculty members.

Financial support. Tuition waivers and fellowships are awarded on a competitive basis, our resources are sufficient to guarantee full funding for the majority of students. This funding is guaranteed for five years, conditional on satisfactory academic progress through the program. The Department also typically awards admitted Ph.D. students a $1,500 research stipend to cover textbooks, software, and conference travel. Graduates make excellent candidates for employment in universities, government, multilateral organizations, and in the private and not-for-profit sectors.

New PhD cohorts enroll every two years. We will begin accepting applications for Fall 2025 enrollment on August 15, 2024, and continue doing so until February 15, 2025 .  We especially encourage applications from students who are interested in the fields of (i) public economics, (ii) urban economics, (iii) economics of education, (iv) economic development, inequality, and poverty, (v) or health economics. Further information about our Department can be found at: https://liberalarts.tulane.edu/departments/economics . Applications are to be submitted online. You can find a link to the online application procedure at the bottom of this page:


If you need additional information, please email Professor John Edwards, our Director of Graduate Studies: [email protected]


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