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Metcalf Summer Research Assistant at Becker Friedman Institute, Guillaume Pouliot

This internship is part of the University’s Jeff Metcalf Internship Program. Please review to learn more about benefits and program requirements for Metcalf interns.

Please make sure that if selected for an interview, you communicate to your prospective host organization/employer where you will be physically located during the internship as your location may affect your (or your host organization/employer’s) ability to pursue this opportunity.

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Fellowship Award Amount: $5000
Internship Time Commitment: Summer 2022 Full-Time; 400 hours

Professor Guillaume Pouliot is assistant professor at the Harris School of public policy. A large segment of his research agenda is targeted at combining machine learning and econometric methods to better tackle empirical questions in economics and public policy. Note that the project in question is in collaboration with Professor Simon Lee of Columbia University.

Job Title and Work Location
The Summer Research Assistant position is remote. 

Job Duties and Responsibilities
The core project is about developing computational and inference procedures for Shapley values, as applied to regression and structural economic models.

The students would learn about Shapley values and how to think of those from an econometric standpoint, so to append them to the output of machine learning and econometric methods. 
Main duties involve programming new estimators, working through statistical proofs, and reviewing relevant literature.

The student would be involved in producing statistical packages in R and/or STATA, implementing the method for public distribution.

Required background: college level training in econometrics, linear algebra and probability. 
Programming skills: advanced programming skills in at least in R and STATA.

Required Materials
Students should include in their application resume and transcript, as well as a short cover letter.

Class Year Eligibility
Second and third year students are eligible.