This paper uses individual-level data to characterize economy-wide job creation and destruction during periods of massive structural adjustment. We contrast the gradualist Czech and the rapid Estonian approach to the destruction of the communist economy to provide evidence on selected...

This paper uses individual-level data to characterize economy-wide job creation and destruction during periods of massive structural adjustment. We contrast the gradualist Czech and the rapid Estonian approach to the destruction of the communist economy to provide evidence on selected...

We develop measures of labor-saving and labor-augmenting technology exposure using textual analysis of patents and job tasks. Using US administrative data, we show that both measures negatively predict earnings growth of individual incumbent workers. While labor-saving technologies predict...

This paper uses individual-level data to characterize economy-wide job creation and destruction during periods of massive structural adjustment. We contrast the gradualist Czech and the rapid Estonian approach to the destruction of the communist economy to provide evidence on selected...

The diffusion of Temporary Work Agency (TWA) jobs originated a harsh policy debate and ambiguous empirical evidence. Results for the US, based on quasi-experimental evidence, suggest that a TWA assignment decreases the probability of finding a stable job, while results for Europe, based on the...

High levels of employment protection reduce hiring and firing and have a theoretically ambiguous effect on the employment level. Immigrants, being new to the labor market, may be less aware of employment protection regulations and less likely to claim their rights, which may create a gap between...

This study empirically explores whether R&D offshoring affects the domestic R&D employment at the firm level. Overall, the Finnish survey data suggest that the impact of R&D internationalization on domestic R&D employment depends on the mode of internationalization (in-house offshoring vs....