To what extent do different firms follow different wage policies? How do such policies affect worker mobility between firms, and what are the effects of different wage bargaining regimes? The empirical branch of personnel economics has long been hampered by a lack of representative data sets....

Job reallocation is considered to be a key characteristic of well-functioning labor markets, as more productive firms grow and less productive ones contract or close. However, despite its potential benefits for the economy, there are significant costs that are borne by displaced workers. We...

This study uses Social Security data on the earnings of military applicants to the all-volunteer forces to compare the earnings of Armed Forces veterans with the earnings of military applicants who did not enlist. Matching, regression, and Instrumental Variables (IV) estimates are presented. The...

There has been a remarkable increase in wage inequality in the US, UK and many other countries over the past three decades. A significant part of this appears to be within observable groups (such as age-gender-skill cells). A generally untested implication of many theories rationalizing the...

Average schooling in US states is highly correlated with state wage levels, even after controlling for the direct effect of schooling on individual wages. We use an instrumental variables strategy to determine whether this relationship is driven by social returns to education. The instrumentals...

This paper uses the 2000 Census 1-in-6 sample to look at the long-term impact of Vietnam-era military service. Instrumental Variables estimates using draft-lottery instruments show post-service earnings losses close to zero in 2000, in contrast with earlier results showing substantial earnings...

Problems of sample selection arise in the analysis of both experimental and non-experimental data. In clinical trials to evaluate the impact of an intervention on health and mortality, treatment assignment is typically nonrandom in a sample of survivors even if the original assignment is random....

Quantile regression(QR) fits a linear model for conditional quantiles, just as ordinary least squares (OLS) fits a linear model for conditional means. An attractive feature of OLS is that it gives the minimum mean square error linear approximation to the conditional expectation function even...

The method of instrumental variables was first used in the 1920s to estimate supply and demand elasticities, and later used to correct for measurement error in single-equation models. Recently, instrumental variables have been widely used to reduce bias from omitted variables in estimates of...

Little is known about the payoffs to apprenticeship training in the German speaking countries for the participants. OLS estimates suggest that the returns are similar to those of other types of schooling. However, there is a lot of heterogeneity in the types of apprenticeships offered, and...