Post-Doc on Economic Measurement

The National Bureau of Economic Research (NBER) seeks a post-doctoral researcher for work on an NSF-supported project, the Economic Measurement Research Institute (EMRI), which is directed by Katharine Abraham (University of Maryland, College Park) and Matthew Shapiro (University of Michigan) and will be located either in Ann Arbor, MI or Washington, DC.

The researcher will work in support of the Re-Engineering Economic Statistics using Economic Transactions () project under the direction of John Haltwanger (University of Maryland) and Matthew Shapiro (University of Maryland), with responsibilities including developing methods, conducting data preparation and data analysis, and preparing research findings for publication as well as independent research related to RESET. The researcher will also participate in networking activities related to economic measurement, interact closely with partners in statistical agencies and firms providing data, and assist in documenting and disseminating research results.

This postdoctoral position is intended for individuals who are completing or have recently completed a Ph.D. in economics or a closely related discipline whose research relates to cutting-edge topics relevant to economic measurement including machine learning, firm and product dynamics, and estimation of production function or demand systems. PhDs in computer science or data science with exceptionally strong backgrounds in economics will also be considered. Previous research on economic measurement would be highly desirable; interest in applying economics and data science to economic measurement is essential. Strong programming skills, experience with the management and analysis of large datasets and eligibility for Special Sworn Status with the U.S. Census Bureau are required.

A starting date between May and September 2026 is anticipated, though a starting date as early as January 1, 2026 is possible. Applicants must have completed their PhD requirements by the anticipated start date. An appointment of one year is anticipated, with the possibility of a second year. Employment is contingent on continuing availability of funding. The researcher will work in person in either Ann Arbor, MI or the Washington, DC metro area.

The NBER may be able to sponsor the researcher for an H1B visa.

To apply, please upload a single pdf containing

• A cover letter describing:Your interest in the positionThe start and end dates for which you would be able to fill this positionYour familiarity with programing languages (e.g., Stata, SAS, R, Matlab, Python, machine learning algorithms, cloud computing platforms)Your prior experience as a research assistant and/or with independent research projects, highlighting their relevance to the RESET project’s aimsNames, e-mail addresses, and phone numbers of 3 references. Please indicate which references you have worked for as a research assistant and which have supervised your work on an independent research project (letters are not required at time of application).
• A current CV, including all relevant undergraduate and graduate degrees completed or to be completed before the start date, noting institution, degree and field of study
• All relevant undergraduate and graduate transcripts (unofficial is fine)
• An original research paper related to economic measurement or related topics

The NBER offers a generous benefits package that includes paid time off, twelve scheduled holidays and two floating holidays annually, Blue Cross Blue Shield health, dental, and vision insurance, short-term and long- term disability insurance, medical and dependent care flexible spending accounts, a comprehensive employee assistance program, and an optional employee funded 403(b) retirement plan. After two years of service, employees participate in a 401(a) retirement plan to which the NBER contributes 20% of pay each year.

For more information about the NBER, please visit .

The application deadline is 5:00pm ET, February 28, 2026.

The NBER is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, age, national origin or disability. It will make reasonable accommodation for any disabled applicant, and will provide assistance to disabled applicants.