Campus Only Senior Thesis
Bachelor of Arts
© 2016 Jennifer A Smith
This analysis examines the impact that personal characteristics like gender, race, years participating in the labor force, education, and previous entrepreneurship have on the amount of funding a startup receives from venture capital investors. Data for the analysis is taken from online venture capital database, Crunchbase, and includes investments made by venture capitalists between the years of 2002 and 2014. Findings from the regression analysis conclude that gender, the number of years a founder has been in the labor force, and a founder’s education background are significant determinants of the amount of funding a company receives in funding rounds. In addition, the sector the company falls under and the venture capital firms that the company seeks investment from are both significant determinants of the amount of funding received by the company and the founder.
Smith, Jennifer A., "Potential Bias in Early-Stage Venture Capital Funding" (2016). Scripps Senior Theses. 892.
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