We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the DP problem and estimates the parameters...

Labor markets in advanced economies have undergone substantial change in recent decades due to globalization, technological improvements, and organizational changes. Due to these developments, oral and written language skills have become increasingly important even in less skilled jobs....

The aim of this paper is to evaluate the impact that the acquisition of Information and Communication Technologies (ICT) skills has on the labor market of two Latin-American cities: Buenos Aires and Bogota. Using cross-sectional data from an experiment that randomly assigned the ICT skills line...

The aim of this paper is to evaluate the impact that the acquisition of Information and Communication Technologies (ICT) skills has on the labor market of two Latin-American cities: Buenos Aires and Bogota. Using cross-sectional data from an experiment that randomly assigned the ICT skills line...

Are people prone to selecting occupations with highly skewed income distributions despite minuscule chances of success? Assembling a comprehensive pool of potential teenage entrants into professional tennis (a typical winner-take-all market), we construct objective measures of relative ability...

Previous research has shown that feedback about past performance has ambiguous effects on subsequent performance. We argue that feedback affects beliefs in different dimensions - namely beliefs about the level of human capital and beliefs about the ability to learn - and this may explain some of...

The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic behavior by agents. We theorize...