Annual Conference

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Corporate Finance

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May 2024

To explain the unique persistent gender gap in the US entrepreneurial community, this paper conducts an experiment with real US startup founders. Results show that male entrepreneurs have implicit gender discrimination against female investors due to statistical discrimination. The discrimination is...
Keywords: Discrimination, Matching, Field Experiments, Venture Capital, Entrepreneurship
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Annual Conference

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Corporate Finance, Senior Fellows/Fellows

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May 2015

Theoretical models of groups suggest that sub-group usage can affect communication among members and group decision-making. To examine the trade-offs from forming sub-groups, we assemble a detailed dataset on corporate boards (groups) and committees (sub-groups). Boards have increasingly used commit...
Keywords: board of directors, Committee, Decision-Making, Sarbanes-Oxley
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Annual Conference

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Corporate Finance

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May 2019

We study the various network effects that are at work on crowdfunding platforms. From a theoretical perspective, we distinguish between network effects that relate to participation or to usage decisions. We use novel entrepreneur-backer data to identify their relative importance on project funding d...
Keywords: Crowdfunding, digital platforms, FinTech, network effects, multisided platforms
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Annual Conference

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Corporate Finance

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May 2018

In 2002, a legal reform introduced in India allowed secured creditors to seize and liquidate the defaulter’s assets. We study firms’ choice between capital and labor in response to these strengthened creditor rights by exploiting variation in their pre-policy proportion of collateralizable asset...
Keywords: Labor and Finance, creditor rights, Employment, Labor-Capital Choice, Labor Intensity, SARFAESI
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Annual Conference

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Corporate Finance

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May 2024

The adoption and commercialization of new technologies rely heavily on universally accepted principles, known as standards. Surprisingly, the role of standards in shaping business outcomes is largely unexplored. This paper provides an initial examination of how the standardization of artificial inte...
Keywords: Artificial Intelligence, Standard Setting, Investment, Technology Diffusion, Machine Learning, Big Data, Ethical AI, AI Safety, Privacy, AI Regulation, RegTech
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