An active area of research within the social sciences concerns the underlying motivation for sharing scarce resources and engaging in other pro-social actions. We develop a theoretical framework that sheds light on the developmental origins of social preferences by providing mechanisms through...

Nash equilibrium takes optimization as a primitive, but suboptimal behavior can persist in simple stochastic decision problems. This has motivated the development of other equilibrium concepts such as cursed equilibrium and behavioral equilibrium. We experimentally study a simple adverse...

Various approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).

We study the degree of falsifiability of theories of choice. A theory is easy to falsify if relatively small datasets are enough to guarantee that the theory can be falsified: the VC dimension of a theory is the largest sample size for which the theory is ''never falsifiable.'' VC dimension is...

Using a novel and unique panel dataset of individual-level professional forecasts at short, medium, and very-long horizons, we provide new stylized facts about survey forecasts. We present direct evidence that forecasters use multivariate models in an environment with imperfect information about...

Strategic learning self-efficacy reflects the confidence of managers in their ability to learn from the outcomes of past strategic decisions and apply that knowledge to new decisions. This research examines the relationship between strategic learning self-efficacy and a firm's industry-adjusted...

Experimentation is at the core of innovation. This project studies collaborative experimentation in teams, focusing on the inherent two-dimensional free-riding problem induced by payoff and informational externalities. The discouraging force of observing others' unsuccessful experimentation and...

We provide identification results for a broad class of learning models in which continuous outcomes depend on three types of unobservables: known heterogeneity, initially unknown heterogeneity that may be revealed over time, and transitory uncertainty. We consider a common environment where the...

Previous research shows that humans display complexity aversion. In this article, we test for the presence of complexity aversion and its determinants in the context of voluntary climate action, where individual choices interact with the complex regulatory framework of the EU Emission Trading...

In this paper, we extend the individual evolutionary learning model by incorporating other-regarding considerations and apply the model to some Cournot games. Using the model fitted to the experimental data of a repeated 3-player Cournot game (with nonlinear cost and demand functions), we...