Matching of Entrepreneurs and Venture Capitalists

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Faculty Member: 

Proposal Description:

This project analyzes the matching between entrepreneurs/start-ups and venture capitalists. Using a big dataset of entrepreneurs and venture capitalists, we want to understand who matches with whom in this market, which characteristics of entrepreneurs and venture capitalists matter most in the matching process and what are the trade-offs that agents face when searching for a match. We also want to analyze how matching patterns, search frictions and the “quality” of matches vary over the business cycle.

Requisite Skills and Qualifications:

I am looking for students with a strong interest and background in data analysis, especially with experience in big data techniques and working knowledge of R and Stata. Applicants should have taken courses in Econometrics and Intermediate Micro. When applying please list your relevant course work and experience with the analysis of big data.

Award:: 
James Baker '18