IGL Trials Database

Social ventures that are fundraising through crowdfunding often involve major donors to influence the contributions of smaller donors. We theorize that male and female donors will respond differently to alternative major-donor contribution schemes that are commonly used by social ventures. In a field experiment, donors were randomly assigned to receive one of three solicitation messages about a pair of projects that were seeking funds through crowdfunding. All donors received identical messages, with the exception that information on major-donor involvement was varied across conditions.

We conducted two randomized controlled trials (RCTs) to evaluate the impact of government-guaranteed loans offered by the Chilean and Colombian governments. The public funds of these programs greatly expanded following the start of the Covid-19 pandemic and offered loans to Micro, Small and Medium Enterprises to mitigate the negative impact of the shock. Through a collaboration with private banks, we launched two experiments which offered loans to a sub-set of the 10,072 Chilean and 3,079 Colombian small businesses that took part in our experiments.

Gender differences in research funding exist, but bias evidence is elusive and findings are contradictory. Bias has multiple dimensions, but in evaluation processes, bias would be the outcome of the reviewers’ assessment. Evidence in observational approaches is often based either on outcome distributions or on modeling bias as the residual. Causal claims are usually mixed with simple statistical associations.

We study how local public infrastructure investment affects neighborhood economies. By tracking the impacts of US$68 million of randomized investments in Mexican municipalities, we document how government investment leads to sustained increases in the size and profitability of treated private-sector companies. Initially, wages rise to compensate for higher costs of living, inefficient firms die, and more efficient firms grow faster. Over the subsequent decade treated firms increase their capital stocks and revenues, suggesting durable improvements in the structure of the local economy.

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.

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.

Microcredit promised business growth for small firms lacking access to banking loans. Although microcredit has reached millions, recent randomized evaluations find limited average business impacts. Critics often blame contract rigidity, specifically the fixed and frequent installments, for the lack of productive risk-taking. But such rigidity may instill borrower discipline. This study partnered with a Colombian lender that offered first-time borrowers a flexible loan that permitted delaying up to three monthly repayments.

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.

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.

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.

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.

While prior research shows a significant gender gap in traditional equity financing, with mostly male investors who prefer male founders, emerging evidence indicates that gender gaps in funding may not translate to rewards-based crowdfunding, where female entrepreneurs may have an advantage, particularly with female investors. We seek to examine founder gender preferences in the context of equity crowdfunding, which represents a direct counterpart to traditional equity financing and which is a “higher-stakes” context than rewards-based crowdfunding.

The main objective of this project is to test the effects of feedback with and without relative ranking scores on SMEs and first-time applicants performance in the funding program “General Programme” of the FFG, and business performance after the program. The feedback for each firm will be based on evaluations scores of the respective funding proposal from project evaluators in the FFG. The participants in the RCT are all Start-ups, SMEs, and large companies who are first-time applicants accepted into the funding program in the timespan of a year.

User entrepreneurs are responsible for the most important innovations in many industries, but little research has explored the performance of firms founded by user entrepreneurs. While user entrepreneurs have a deep knowledge of customer needs that facilitates the identification of innovative solutions, they tend to lack the relevant business knowledge (e.g., market, production, operational and organizational) to successfully exploit opportunities and grow their ventures.