IGL Trials Database

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.

In many scientific contexts, peer review can be either single-blind or double-blind: in single-blind review, research work (e.g., manuscripts, proposals) is reviewed alongside information on the author(s), whereas in double-blind review, information on the author(s) is withheld. We will report results from a randomized experiment conducted in collaboration with a grantmaking body, in the context of the grantmaker reviewing proposals in one field of science.

This paper studies whether informational frictions prevent firms from accessing government support using a randomised controlled trial. We focus on two Portuguese COVID-19 relief programs, providing (i) wage support for workers who are kept on payroll and (ii) credit lines backed by government guarantees. We randomly assign firms to a treatment providing either simplified information about a program, or a combination information and step-by-step application support. We find a significant treatment effect on take up of the wage support program.

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 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).

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.

A field experiment in Sri Lanka provided wage subsidies to randomly chosen microenterprises to test whether hiring additional labor benefits such firms, and whether a short-term subsidy can have a lasting impact on firm employment. Using 12 rounds of surveys to track dynamics four years after treatment, we find that firms increased employment during the subsidy period. Treated firms were more likely to survive, but there was no lasting impact on employment, and no effect on profitability or sales either during or after the subsidy period.

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.

We study gender and race in high-impact entrepreneurship within a tightly controlled random field experiment. We sent out 80,000 pitch emails introducing promising but fictitious start-ups to 28,000 venture capitalists and business angels. Each email was sent by a fictitious entrepreneur with a randomly selected gender (male or female) and race (Asian or White). Female entrepreneurs received an 8% higher rate of interested replies than male entrepreneurs pitching identical projects. Asian entrepreneurs received a 6% higher rate than White entrepreneurs.

Can improved access to credit jump-start microenterprise growth? We examine subjects in urban Hyderabad, India, six years after microfinance–an intervention commonly believed to lower the cost of credit and spark business creation–was randomly introduced to a subset of neighborhoods. We find large benefits both in business scale and performance from giving “gung-ho entrepreneurs” (GEs)–those who started a business before microfinance entered–more access to microfinance. Notably, these effects persist two years after microfinance was withdrawn from Hyderabad.