IGL database (beta)

We evaluate the impact of the UK’s Growth Vouchers Programme, which offered subsidised business advice to 15,207 randomly selected small and medium size enterprises. Using administrative and survey data, we show that the programme increased turnover by 8.2% but only in the short-term and potentially at the expense of non-supported firms. We find that subsidised advice appears to improve firms’ capabilities and practices in a way that is consistent with the increase in turnover.

In an RCT with US small businesses, we document that a large share of firms are not well-informed about bankruptcy. Many assume that bankruptcy necessarily entails the death of a business and do not know about Chapter 11 bankruptcy, where debts are renegotiated so that the business can continue operating. Small businesses are also unaware of a recent major reform that lowered the costs of bankruptcy procedures to enhance their protection.

Innovation plays a pivotal role in fostering economic growth, yet there is a limited understanding of whether it can be taught. I conduct a randomized evaluation of an education program implemented by a state government and a nonprofit organization, providing an opportunity to 6,224 8th-grade students from disadvantaged backgrounds to develop frugal innovations for global and local problems. To assess students’ innovative ability, I created a novel scale with inputs from experienced inventors and used a lab-in-the-field game from experimental economics.

There is a growing belief that scalable and low-cost AI assistance can improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it hard to generalize from recent studies showing that generative AI improves performance on well-definedwriting tasks. In our field experiment with 640 Kenyan entrepreneurs, we assessed the impact of AI-generated advice on small business revenues and profits.

We examine the productivity effects of a generative artificial intelligence technology—the assistive chatbot ChatGPT—in the context of mid-level professional writing tasks. In a preregistered online experiment, we assign occupation-specific, incentivized writing tasks to 444 college-educated professionals, and randomly expose half of them to ChatGPT. Our results show that ChatGPT substantially raises average productivity: time taken decreases by 0.8 SDs and output quality rises by 0.4 SDs.

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine the performance implications of AI on realistic, complex, and knowledge-intensive tasks. The pre-registered experiment involved 758 consultants comprising about 7% of the individual contributor-level consultants at the company.

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.

As more and more activities in the economy become digitized, analytics and data-driven decision-making (DDD) are becoming increasingly important. The adoption of analytics and DDD has been slower in small-to-medium enterprises (SMEs) compared to large firms, and reliable causal estimates of the impacts of analytics tools for small businesses have been lacking. We derive experiment-based estimates of the effect of an analytics tool on SME outcomes, analyzing the randomized introduction of eBay’s Seller Hub (SH), a data-rich seller dashboard.

We document interest in labor reallocation among small firm owners in Ghana; 60% and 41%, respectively, self-report willingness to hire or work for the average local firm owner. Firm owners also exhibit high willingness-to-pay for information on a random subset of hiring firms and jobseeking firm owners, during a Becker-Degroot-Marschak exercise. Conditionally random variation in access to this information generates immediate labor adjustments within and between firms, though rarely of firm owners themselves, and impacts firm closure 5-months post-intervention.

Although entrepreneurship training programs are designed to help necessity entrepreneurs acquire skills and capabilities to take entrepreneurial action, participants in these programs often fail to do so. In partnership with a local government agency, we conducted a randomized field experiment involving 165 entrepreneurs in rural Tanzania where in addition to providing technical-skills training, approximately half of the participants also received “growth mindset” psychological training.

Effective workplace management plays a crucial role in determining employee performance, retention, and subsequently, overall firm performance. While conventional management strategies often emphasize hierarchical relationships, peer-to-peer management, or "managing across," represents a promising yet largely unexplored approach. This study aims to investigate the impact of peer-to-peer management training on various employee outcomes and identify the conditions under which the intervention proves most effective.

Failure is widely acknowledged as a critical component of the organizational learning and innovation processs. Learning from failure, in particular, seems extremely relevant in the context of entrepreneurship, where failure often emerges as the predominant outcome. Remarkably, most entrepreneurship training programs predominantly emphasize success stories of entrepreneurs, without leveraging the learning potential that come from stories of failure.

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.

This study examines the influence of information constraints on firms’ efficiency in using digital technologies, focusing on business websites. Through two natural field experiments in the UK, we provide firms with benchmarked performance information on their websites. The experimental designs enable us to assess the salience of the information provided and heterogeneity linked to prior experience and catch-up potential.