Working paper

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 direct productivity changes and spillovers after a randomized training program for the frontline workers in a Colombian government agency. While trained workers improved their individual production, we also find substantial spillovers that affected managers' productivity. We use email data and a survey to explore the mechanisms behind these spillovers and find that managers' increased output arises from reductions in the need to help lower level employees.

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.

We examine the influence of physical proximity on between-startup knowledge spillovers at one of the largest technology co-working hubs in the United States. Relying on the random assignment of office space to the hub's 251 startups, we find that proximity positively influences knowledge spillovers as proxied by the likelihood of adopting an upstream web technology already used by a peer startup.

Identifying the most promising business ideas is key to the introduction of novel firms, but predicting their success can be difficult. It is argued that if entrepreneurs adopt a scientific approach by formulating problems clearly, developing theories about the implications of their actions, and testing these theories, they make better decisions.

Prior research suggests that firms in entrepreneurial settings benefit from a scientific approach to decision making that combines cognitive and evidence-based components. But to what extent and under what conditions is the scientific approach to decision-making associated with superior performance?

This paper explores whether skills training in business performance and customer practices was a promising way to increase business outcomes among self-employed workers who operate small businesses in developing countries.

Using an OLS regression estimator with clustered standard errors, the analysis finds that, out of the twelve outcome variables used to assess the effectiveness of the program of achieving its stated goals, they have reached their target for the outcome variables of business ownership, overall income level, community project ownership, savings behaviour and self-efficacy but not for the indicators of paidemployment prevalence, business or employment income, holding of a school leadership position, business planning, financial literacy or creativity.

This study analyses a field experiment conducted on AngelList Talent, a large online search platform for startup jobs.

This paper studies the medium-term impacts of the Skills for Effective Entrepreneurship Development (SEED) program, an innovative in-residence 3-week mini-MBA program for high school students modeled after western business school curricula and adapted to the Ugandan context.