Although economic models of training decisions are framed in terms of a company's calculation of the costs and benefits of such training, empirical work has never been able to test this model directly on company behavior. This paper utilizes a unique database to analyze the determinants of the...

Entering a currency union without any political union European countries have taken a gamble: will the needs of the currency union force a political integration (as anticipated by Monnet) or will the tensions create a backlash, as suggested by Kaldor, Friedman and many others? We try to answer...

The fine structure of earnings is defined by a theoretically meaningful decomposition of the covariance matrix of earnings (or log earnings) time series. A three-element variance components model is proposed for analyzing earnings of young workers. These components are interpreted as the effects...

In this paper, we develop a model of technology adoption and economic growth in which households optimally obtain either a concept-based, general' education or a skill-specific, vocational' education. General education is more costly to obtain, but enables workers to operate new technologies...

Learning by exporting refers to the mechanism whereby firms improve their performance (productivity) after entering export markets. Although this mechanism is often mentioned in policy documents, a significant share of econometric studies has not found evidence for this hypothesis. This paper...

In many industries firms can learn about new technologies from other adopters; mandatory disclosure regulations represent an understudied channel for this type of social learning. We study an environmentally-focused law in the shale gas industry to examine firm claims that disclosure...

We study an ambiguity-averse agent with uncertainty about income dynamics who chooses what aspects of the income process to learn about. The agent chooses to learn most about income dynamics at the very lowest frequencies, which have the greatest effect on utility. Deviations of consumption from...

We document the transmission of social distancing practices from the United States to Mexico along migrant networks during the early 2020 Covid-19 pandemic. Using data on pre-existing migrant connections between Mexican and U.S. locations and mobile-phone tracking data revealing social...

We examine how two highly successful new biotechnology firms (NBFs) source their most critical input -- scientific knowledge. We find that scientists at the two NBFs enter into large numbers of collaborative research efforts with scientists at other organizations, especially universities. Formal...

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...