Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks, such as product searches, portfolio choices, and human resource procurement. These tasks often involve a trade-off between exploration and exploitation, which can be highly...

This paper considers the problems facing decision-makers using econometric models in real time. It identifies the key stages involved and highlights the role of automated systems in reducing the effect of data snooping. It sets out many choices that researchers face in construction of automated...

We examine how speeches by Federal Open Market Committee (FOMC) members, including regional Fed presidents, shape private sector expectations. Speeches that signal rising inflationary pressures prompt both households and professional forecasters to raise their inflation expectations, consistent...

This paper examines the impact of political polarization on public trust in the Fed and its influence on macroeconomic expectations. Using a large-scale survey experiment which we fielded on President Trump’s 2025 inauguration day, we study how households form beliefs about the Fed regarding...

Academics are increasingly expected to engage in public discussions. We study how engagement conditions affect academics’ engagement attitudes via a survey experiment among 4,091 tenured professors in Germany. Consistent with the crowding-out of intrinsic motivation, we find lesspositive...

We show that essentially every communication equilibrium of any finite Bayesian game with two players can be implemented as a strategic form correlated equilibrium of an extended game, in which before choosing actions as in the Bayesian game, the players engage in a pos-sibly infinitely long...

Incentive schemes affect performance and priorities of agents but, in reality, they can be complicated even for simple tasks. We analyze the effects of the salience of incentives in a team production setting where the principal has an interest in quantity and quality of output. We use data from...

In cases of conflict of interest, people can lie directly about payoff relevant private information, or they can evade the truth without lying directly. We analyse this situation theoretically and test the key predictions in an experimental sender-receiver setting. We find senders prefer to...

This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free-form chat communication among firms in a laboratory experiment, we identify typical communication patterns for both explicit cartel formation and indirect attempts to collude...

We develop a theory of conversations. Two agents with different interests take turns choosing the topic of the conversation. Talking about a single topic allows them to delve deeper, making the conversation more informative (or enjoyable). To capture this dynamic, we assume that the marginal...