In a centralized marketplace that was designed to be simple, we identify participants whose choices are dominated. Using administrative data from Hungary, we show that college applicants make obvious mistakes: they forgo the free opportunity to receive a tuition waiver worth thousands of...

Many economic models incorporate finiteness assumptions that, while introduced for simplicity, play a real role in the analysis. We provide a principled framework for scaling results from such models by removing these finiteness assumptions. Our sufficient conditions are on the theorem statement...

We use a laboratory experiment to understand the channels through which honesty oaths can affect behavior and credibility. Using a game with asymmetric information in a financial market setting that captures some important features of advisor-investor interactions, we manipulate the common...

In models of dynamic multilateral bargaining, the literature tends to focus on stationary subgame perfect or stationary Markov perfect equilibria, which restrict attention to forward-looking, history-independent strategies. Evidence supporting such refinements come from environments in which...

In a finitely repeated game with asymmetric information, we experimentally study how individuals adapt the nature of their lies when settings allow for reputation-building. While some lies can be detected ex post by the uninformed party, others remain deniable. We find that traditional market...

In a variety of settings, budgets are set by a committee that interacts repeatedly over many budget cycles. To capture this, we study a model of repeated multilateral bargaining by a budget committee. Our focus is on the transition of agenda setting power from one cycle to the next, and how such...

We use standardized end-of-course knowledge assessments to examine student learning during the disruptions induced by the COVID-19 pandemic. Examining seven economics courses taught at four US R1 institutions, we find that students performed substantially worse, on average, in Spring 2020 when...