Access to Finance

Whose problems do investors see as worth solving? I experimentally study how investors evaluate a startup idea based on the socioeconomic background of the founder, the target customer, and the (in)congruence between the two. I am also interested in how the socioeconomic background of investors themselves affect these evaluations. I aim to contribute to the research on diversity and inequality in entrepreneurial funding in which socioeconomic backgrounds have been relatively understudied.

This lab-in-the-field experiment will measure the gender bias in entrepreneurship and investment among youth and credit officers in Ethiopia. Chigign Tobiya “Ethiopia Emerges” is a television show in Ethiopia where entrepreneurs pitch their business ideas to a panel of business tycoons for a chance to get investment funding.

This study is focused on the relationship between borrowing constraints, access to cutting-edge technology and information about cutting-edge technology on the performance of U.S. online businesses. With the help of two large U.S. technology companies we will be able to randomize access to loans and free cloud computing credits (as well as information about the potential use of technology) to otherwise identical (generally small, but fast growing) firms, to see if they will have a causal impact on firm development.

This impact evaluation aims to measure the effect of a program that combines business training, mentoring, and a large cash transfer on high-potential small and medium businesses in Chile. 250 out of the top 500 firms participating in a business plan competition will be randomly selected to receive all three components of the program, while the remaining firms will receive none of them.

We seek to understand what is limiting women's access to finance, in particular for highly skilled start-up entrepreneurs. To investigate supply side constraints, we run a lab-in-the-field experiment in which loan officers in Uganda evaluate several business ideas based on real pitch decks from start-ups. We separate biases in idea evaluation from other constraints (such as gender specific differences in the ability to implement a project, or in external constraints that start-up entrepreneurs are facing).

By enabling smaller loans, broader geographic reach, and less human bias in decision-making, process automation may reduce racial disparities in access to financial services. We find evidence for all three channels in a setting where private lenders faced no credit risk but decided who to serve: the Paycheck Protection Program (PPP), which provided loans to small businesses during COVID-19. Black-owned firms disproportionately obtained their PPP loans from fintech lenders, especially in areas with high racial animus.

Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and ideas. In this paper, we focus on shedding light into this observed pattern by examining how evaluator expertise in the problem’s focal domain shapes the relationship between novelty and feasibility in evaluations of quality for technical solutions.

We study the demand for government participation in China’s venture capital and private equity market. We conduct a large-scale, non-deceptive field experiment in collaboration with the leading industry service provider, through which we survey both sides of the market: the capital investors and the private firms managing the invested capital by deploying it to high-growth entrepreneurs. Our respondents together account for nearly $1 trillion in assets under management.

Do capital grants improve microenterprise productivity? We use the lens of a production function to re-examine two previous randomised controlled trials that allocated capital to microenterprises. We find that productivity is higher for treated firms, and accounts for about 20-30 percent of the revenue effects of capital grants. Although long-run estimates are noisy, point estimates indicate that these productivity effects are sustained six years after the grants.

This paper examines the persuasiveness of delivery in start-up pitches.