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Tobin Pre-Doctoral Fellowship

Research with Economics Faculty at Yale SOM

POSITION FILLED

 

FACULTY SUPERVISOR:

Kevin Williams

 

PROJECT AND POSITION DESCRIPTION

This position is intended to provide rigorous training in the field of economics research to prepare a candidate for doctoral studies in graduate school. The trainee will be working closely the economics group at the Yale School of Management, including Diana Van Patten, David Argente, Kevin Williams, and others. This will allow the trainee to be exposed to rigorous economic research covering a broad range of topics, such as international trade, applied macroeconomics, macro development, and industrial organization. The trainee will meet with professors regularly to discuss progress.

 

REQUISITE SKILLS AND QUALIFICATIONS

This position will provide on the job programming training in software such as Python, R, Stata, GIS and/or MatLab. The trainee will learn about a given research project and do background reading to understand the project. The trainee will write a comprehensive literature review, which will increase exposure to those papers and make the research design more apparent. The trainee will be trained in how to turn the goal of the research into a detailed research design plan. The trainee will then be expected to complete a number of detail-oriented tasks using large datasets. Another important skill the trainee will gain is presenting interim results concisely while explaining the economic mechanism lying behind the results. Specific tasks requested involve data collection, big data statistical analysis, model estimation, model simulations, and analytical characterization of theoretical results. The trainee may also be asked to replicate existing results in the literature. The trainee will participate in educational programming provided by the Tobin Center covering research design. Finally, the trainee with present work to Yale faculty and Tobin Center Predoctoral Fellows for feedback.

 

SPECIAL APPLICATION INSTRUCTIONS

Please submit a coding sample in Python.

 

APPLY HERE