We embed learning (without experimentation) in optimal growth. We extend the Mirman-Zilcha results of stochastic optimal growth to the learning case. We use recursive methods to study the effect of learning on the dynamic program by considering the case of iso-elastic utility and linear...

Data from a field experiment conducted within a tree-planting firm are used to estimate the gain in productivity that is realized when workers are paid piece rates rather than fixed wages. The experiment provides daily observations on individual worker productivity under both piece rates and...

We study voluntary contribution behavior of individuals who vary in their ability to contribute to a joint project under different information scenarios. We investigate a situation with two types who vary only in their external marginal return (low and high). Results of a laboratory experiment...

The role of field experiments in evaluating the effect of compensation policies on worker productivity is considered. Particular attention is paid to the ability of a field experiment to identify the effect of a permanent change in firm policy. While field experiments solve endogeneity problems...

This article experimentally examines voluntary contributions when group members’ marginal returns to the public good vary. The experiment implements two marginal return types, low and high, and uses the information that members have about the heterogeneity to identify the applied contribution...

This paper discusses the choice of the number of participants for within-subjects (WS) designs and between-subjects (BS) designs based on simulations of statistical power allowing for different numbers of experimental periods. We illustrate the usefulness of the approach in the context of field...