Much of today’s software relies on programming code shared openly online. Yet, it is unclear why volunteer developers contribute to open-source software (OSS), a public good. We study OSS contributions of some 22,900 developers worldwide on the largest online code repository platform, GitHub,...

Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability--whether firms in the industry are able to control the knowledge generated by their innovations--and...

Why do people give when asked, but prefer not to be asked, and even take when possible? We show that standard behavioral axioms including separability, narrow bracketing, and scaling invariance predict these seemingly inconsistent observations. Specifically, these axioms imply that...

We study a form of threshold matching in fundraising where donations above a certain threshold are topped up with a fixed amount. We show theoretically that threshold matching can induce crowding in if appropriately personalized. In a field experiment, we explore how thresholds should be chosen...

Do donors examine a single ask to donate in isolation or do they consider that other and future asks may come along? In the first year of our field experiment, we vary whether or not potential donors are informed that the ask will be repeated in the following year. This information has dramatic...

Previous studies of charitable giving have focused on middle or higher income earners in Western countries, neglecting the poor. Despite this focus, the lowest income groups are often shown to contribute substantial shares of their income to charitable causes. In a large-scale natural field...

We study intertemporal crowding between two fundraising campaigns for the same charitable organization by manipulating donors' beliefs about the likelihood of future campaigns in two subsequent field experiments. The data shows that initial giving is decreasing in the likelihood of a future...