Over 2 billion people lack clean drinking water. Existing solutions face high costs (piped water) or low demand (point-of-use chlorine). Using a 60,000 household cluster-randomized experiment we test an increasingly popular alternative: decentralized treatment and home delivery of clean water to...

How does early educational quality affect longer-term academic outcomes? We shed light on this question via a natural experiment in the Philippines--the implementation of a mother tongue education policy in public schools in kindergarten to Grade 3. This policy led to an unexpected decline in...

This chapter is intended as an introduction to laboratory experiments, when to use, how to evaluate them, why they matter and what are the pitfalls when designing them. I hope that users as well as consumers will find Sections that broaden their views. I start with when an economist might want...

We experimentally test two seminal hypotheses on the impact of competition on firms' management upgrading. In a first experiment, we protect firms from labor market competition by reducing the risk that a freshly trained manager would be poached by a rival firm. We find that this protection does...

This paper analyzes the design of tests to distinguish human from artificial intelligence through the lens of information design. We identify a fundamental asymmetry: while AI systems can strategically underperform to mimic human limitations, they cannot overperform beyond their capabilities....

Salary negotiations are a widespread phenomenon that can shape key labor market outcomes, such as welfare and inequality. We provide novel empirical and theoretical insights into the causes and consequences of salary negotiations. We conducted two field experiments involving over 3,100 job...

The Tax Cuts and Jobs Act of 2017 (TCJA) marked the first time in three decades that material changes were made to the corporate tax code of the United States. We use TCJA as a quasi natural experiment to estimate the impact of changes in user cost of capital on investment. Following the method...

We propose a sufficient statistic for designing AI information-disclosure and selective automation policies. The approach allows for endogenous and biased beliefs, and effort crowd-out, without using a structural model of human decision-making. We deploy and validate our approach in a...

How do advanced technology adoption and venture capital (VC) funding impact employment and growth? An analysis of data from the US Census Bureau suggests that while both advanced technology use and VC funding matter on their own for firm outcomes, their joint presence is most strongly correlated...

We develop a method to estimate producers' productivity beliefs in settings where output quantities and input prices are unobservable, and we use it to evaluate allocative efficiency in the market for science. Our model of researchers' labor supply shows that their willingness to pay for their...