This paper presents a model of the interaction between invention and learning by doing. Learning depends upon invention in that learning by doing is viewed as the serendipitous exploration of the finite productive potential of invented technologies. At the same time, the profitability of costly...

Discretionary policymaking can foster strategic complementarities between private sector decisions, thus leading to multiple equilibria. This article studies a simple example, originating with Kydland and Prescott, of a government which must decide whether to build a dam to prevent adverse...

Social distancing via shelter-in-place strategies, and wearing masks, have emerged as the most effective non-pharmaceutical ways of combatting COVID-19. In the United States, choices about these policies are made by individual states. We develop a game-theoretic model and then test it...

We compare how well agents aggregate information in two repeated social learning environments. In the first setting agents have access to a public data set. In the second they have access to the same data, and also to the past actions of others. Despite the fact that actions contain no...

In this paper we study how volatility in monetary policy affects economic performance in the presence of endogenously chosen information structures. To isolate the effects produced by the interaction of uncertainty in monetary policy and (possibly) asymmetric information, we consider a model in...

The foundations of incomplete contracts have been questioned using or extending the subgame perfect implementation approach of Moore and Repullo (1988). We consider the robustness of subgame perfect implementation to the introduction of small amounts of asymmetric information. We show that...

We present and experimentally test a mechanism that provides a simple, natural, low cost, and realistic solution to the problem of compliance with socially determined efficient actions, such as contributing to a public good. We note that small self-governing organizations often place enforcement...

This paper introduces a new cost dataset for a commercial aircraft firm and uses this data to analyze the dynamics of learning in commercial aircraft production. This dataset is found to be inconsistent with the simple learning hypothesis, and particularly the prediction that a firm's unit cost...

We survey work using Bayesian learning in macroeconomics, highlighting common themes and new directions. First, we present many of the common types of learning problems agents face---signal extraction problems---and trace out their effects on macro aggregates, in different strategic settings....