We study a model in which corporate social responsibility (CSR) arises as a response to inefficient regulation. In our model, firms, governments, and workers interact. Firms generate profits but create negative spillovers that can be attenuated through government regulation, which is set...

This paper develops and tests a model in which 1) purpose-driven firms emerge as an optimal organizational form even for profit-maximizing entrepreneurs; and 2) CSR arises endogenously as a response to imperfect regulatory oversight. Purpose-driven organizations allow entrepreneurs to create...

Research shows that evidence-based algorithms more accurately predict the future than do human forecasters. Yet, when forecasters are deciding whether to use a human forecaster or a statistical algorithm, they often choose the human forecaster. This phenomenon, which we call algorithm aversion,...

Although evidence-based algorithms consistently outperform human forecasters, people often fail to use them after learning that they are imperfect, a phenomenon known as algorithm aversion. In this paper, we present three studies investigating how to reduce algorithm aversion. In incentivized...

We consider a multi-agent contracting setting when agents have “keeping up with the Joneses” (KUJ) preferences. Because productivity is affected by common shocks, it is optimal to base pay on performance relative to a benchmark. But when agents and care about how their pay compares to...

Form 8-K reports filed with the SEC often exhibit lags raising the potential for information leakage that could be exploited by informed traders. This study provides evidence that institutional investors are able to capitalize on 8-K filing lags. Consistent with extant theories, this study...