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Predoctoral Fellows Open Positions

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Applications are currently being accepted for positions starting in Summer 2022! For priority consideration, candidates should submit all application materials by Friday, Nov. 12, 2021 (by 5 pm).  Positions will remain open until filled.

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Open Positions

Analysis of effects of multi-specialty practice on health care productivity - Professor Laurence Baker

The Research Fellow will work with the faculty on projects involving quantitative analysis of large Medicare claims databases to study health care productivity.  The main projects involve studying the effects of the structure of physician practices on the cost and quality of care provided by physicians.  Are large, multi-specialty practices able to provide quality care at lower costs than smaller ones?  Are practices vertically integrated with hospitals better than other practices?  The fellow will use Stata (and possibly other software as may be needed) to extract and assemble data from different sources to prepare analytic data sets, and will work with the team to perform econometric analyses (such as event-study, difference-in-difference, and instrumental variables models) to examine relationships between practices organizations and outcomes.  The fellow will also help with the preparation of results for paper and publications, and may also collect and help synthesize relevant economic and related literature. Opportunities to participate in the writing of manuscripts from the projects are expected to be possible.

Empirical analysis of regulation in credit and healthcare markets - Professor Jose Ignacio Cuesta - Position Filled

Professor Jose Ignacio Cuesta is working on a set of projects that analyze the regulation of credit and healthcare markets, including the effects of price regulation in credit markets, the design of mortgage refinancing policies, quality regulation in pharmaceutical markets, and the roles of public procurement and public provision in lowering drug prices. The projects use novel large datasets to develop a variety of analyses, that range from exploiting policy variation to study the effects of the policy on market outcomes, to implementing and analyzing field experiments, and to estimating structural models of consumer and firm behavior to study the effects of counterfactual policies and measure welfare effects. The fellow will help the team collect, clean, process, and analyze the data. The fellow will be exposed to a variety of methods commonly used in applied microeconomics, and obtain experience employing them in practice.

Housing policy and inequality - Professor Rebecca Diamond - Position Filled

The Predoctoral Research fellow will work with and analyze large datasets tracking migration, housing, local labor markets, and credit markets. Some projects topics include: the role of housing and homeownership in wealth inequality and the general equilibrium effects of affordable vs. luxury housing development on city-wide house prices. Key skills required include knowledge of econometrics, STATA programming, general programming skills, and keen attention to detail. The Research Fellow will learn about housing policy, causal inference, and data analysis.

Historical perspectives on social insurance - Professor Daniel Fetter - Position Filled 

Daniel Fetter, Assistant Professor of Economics at Stanford, is accepting applications for a pre-doctoral research fellow position to begin in the summer or fall of 2022 and to be appointed for up to two years as part of his research team. A stunning range of new data resources are becoming available for studying the recent economic history of the United States, from public-use administrative Social Security data to complete-count Census data. This position will entail close collaboration and assistance with all stages of various empirical research projects in the field of economic history, using these large-scale datasets to shed light on the key economic features of social insurance programs and other government interventions in the economy.

Identifying pockets of extreme intergenerational reproduction using linked census data - Professor David Grusky - Position Filled

Professor Grusky is recruiting for a project that uses linked U.S. Decennial Census and ACS data to (a) identify which occupations (e.g., doctors, lawyers, bakers, truck drivers, carpenters) are the most intergenerationally “inheritable,” (b)  examine racial and ethnic differentials in such detailed occupational reproduction, and (c) examine the combined effects of mothers and fathers on detailed occupational reproduction. The research fellow will help with (a) data cleaning, managing, and recoding, (b) data analysis, (c) literature reviews, and (d) writing drafts of supplementary materials for publications.

Occupational licensing and parallel importation - Professor Bradley Larsen  / International banks and global capital flows  - Professor Chenzi Xu- Position Filled

This position will work with both Professors Larsen and Xu. The projects for Professor Larsen focus on topics in industrial organization economics related to occupational licensing, price discrimination, and parallel importation. The fellow will receive exposure to and training in a broad set of applied microeconomics research methods, gain experience analyzing large and complex data sets (working with programs and languages such as Stata, Matlab, and Python), learn to write about and organize research findings, and become knowledgeable about current policies.  The projects for Professor Xu focus on a number of research questions related to financial crises in banking and sovereign debt markets internationally and historically. There will be a significant amount of data cleaning and analysis of new data sources. There is a significant mentoring component with weekly meetings with the PI and the PI's coauthors.  Ideal candidates will have excellent computer programming skills/experience working with statistical software, prior experience with STATA or R is valued, experience with python, diligence and attention to detail, organizational and communication skills.

Labor migration: Across countries and borders - Professor Melanie Morten - Position Filled

Professor Melanie Morten seeks a predoctoral research assistant to help with research projects on migration and labor market impacts. Projects the predoc will work on include: transmigration through Central America of continental (migrants from South/Central America) and extracontinental (migrants from outside the Americas, e.g., Asia and Africa), urbanization and public transportation in Dar es Salaam, Tanzania, and the economic impacts of short-term seasonal migration programs between the Pacific and New Zealand. The predoc will help with data analysis, solve spatial models, and potentially assist in piloting and running field experiments. Programming skills, a willingness to learn, attention to detail, and enthusiasm about economics are all required.

Public policies in health insurance and health care - Professor Maria Polyakova

Professor Polyakova is seeking a highly skilled individual to work as a predoctoral research fellow for a one-year (or possibly two-year) term. The fellow will work on multiple projects in health economics that use large administrative datasets, including Medicare, Medicaid, tax data, and employer-employee matched labor market data. Topics will cover labor markets for healthcare providers, health insurance policy, and consumer behavior in health insurance and healthcare markets. The pre-doctoral fellow will be expected to write programming scripts to analyze and visualize the data, create research reports, and actively participate in regular team meetings. This position is ideal for a candidate interested in learning more about the health care systems of the US and Europe, although no prior knowledge is expected. The position requires attention to detail, willingness to learn to create effective visualizations, and fluency with Stata. Knowledge of SAS, R, and Python is a plus but not required.

Families and Health: Research Using Linked Administrative Data  - Professors Maya Rossin-Slater and Petra Persson - Position Filled

Professors Petra Persson and Maya Rossin-Slater seek a highly skilled individual to work as a predoctoral research fellow for a one- to two-year term, to begin in Summer 2022. The position will involve research assistance for several projects on topics related to maternal and child health, and family structure and well-being. The projects use large-scale administrative data sets and deliver implications for current policy debates. The fellow will receive exposure to and training in a broad set of applied microeconomics research methods, and experience analyzing large and complex data sets, working with programs such as Stata, SAS, R, and GIS, and will become knowledgeable about current policies targeting disadvantaged populations in the US and in other countries.

Sectoral reallocation and the labor market - Professors Adrien Auclert and Isaac Sorkin  - Position Filled

Professors Adrien Auclert and Isaac Sorkin are looking for a predoctoral research fellow to work on exciting projects at the intersection of macroeconomics and labor economics. They are working on projects using large-scale administrative micro-data combined with state-of-the-art macroeconomic models to study questions related to labor markets, reallocation, and inequality. The position requires interest in learning how to manipulate large datasets and learning how to work with macroeconomic models.

Consumer finance, fintech, bigtech and regulation - Professor Amit Seru - Position Filled

Professor Seru researches several topics in household finance and financial regulation, including the rising role of fin-tech and big-tech firms, financial advertising, intermediation, role of disclosure in market for financial advice and the sources and measurement of technological innovation. These projects will use large-scale data sets primarily, but not only, from the United States, and the analysis will deliver implications for current policy debates. The fellow will help the team clean, process and analyze the data towards these goals using programs such as Stata, Python, R, Matlab and SAS. The ideal candidate brings both enthusiasm for research and coding experience, with preference given to those with prior knowledge of either Stata, R, or Python. 

Empirical market design for transforming marketplaces - Professor Shoshanna Vasserman and Claudia Allende Santa Cruz - Position Filled

This is a predoctoral fellow position to work on ongoing research projects involving the empirical evaluation and design of policies for changing marketplaces. Possible project topics include platform design for school choice, procurement processes for pharmaceuticals, congestion pricing for road use and supply & demand pressures for local news, and will likely involve empirical work to develop and analyze never-before-seen data from large-scale ongoing experiments.    The fellow will be expected to contribute to the different aspects of empirical work involved in the project, including data management, munging, visualization, simulation and basic econometrics. Pending interest, there will be ample opportunity to learn and apply more advanced computational techniques as well as economic theory. The fellow can also expect to work in a team setting, in which they will get to collaborate with and learn from faculty members and older students/fellows.    Applicants are expected to have a bachelor’s degree or its equivalent, a strong quantitative background, excellent programming skills, and a serious interest in pursuing research in economics are required. A background in economics is helpful but not necessary. Previous research experience is a plus. Intellectual curiosity and a desire to learn how to do things well can compensate for most technical qualifications.

The economics of the family and of gender - Professor Alessandra Voena

Professor Voena's research is in labor economics and development economics. She is seeking a research fellow to work on different projects, primarily centered around the economics of the family and of gender. Projects include a study on the labor market opportunities for high-skilled female workers in India, on the household finance decisions of couples in Germany and Australia, and on global human trafficking. The fellow will be involved in all stages of the research, for example, from initial literature reviews to data analysis, from model building to structural estimation. Candidates must hold a bachelor’s degree or its equivalent, and should have (i) a strong quantitative background, (ii) excellent computer programming and analytical skills, and (iii) a long-term interest in pursuing research in economics. A background in economics is helpful but not necessary. Candidates from groups underrepresented in economics are especially encouraged to apply. 

A cost-effective energy transition - Professor Frank Wolak

The research assistant will work on empirical research projects that combine economic theory and econometric methods to study the impacts of existing and prospective policies to facilitate the energy transition. A variety of statistical software packages will used including, but not limited to, STATA and R. The research assistant will also learn about the technology and regulatory structure of the energy sector, as a thorough understanding of these topics is essential to performing policy-relevant research in this area. Finally, the research assistant will have opportunities to interact with state and federal regulators on energy and environmental policy issues.