We use matched employer-employee data and firm balance sheet data to investigate the importance of firm productivity and firm labor market power in explaining firm heterogeneity in wage formation. We use a linear regression model with one interacted high dimensional fixed effect to estimate...

This paper investigates the impact of drug decriminalization in Portugal using the Synthetic Control Method. The applied econometric methodology compares Portuguese drug-related variables with the ones extracted from a convex combination of similar European countries. The results suggest that a...

This study is an empirical assessment of the impact of the drug decriminalization policy followed by Portugal in July, 2001. We investigate especially the impact of the policy change on the price of illicit drugs. The analysis is performed using a difference-in-differences approach and a...

We use matched employer-employee data and firm balance sheet data to investigate the importance of firm productivity and firm labor market power in explaining firm heterogeneity in wage formation. We use a linear regression model with one interacted high dimensional fixed effect to estimate...

This paper updates the major study by Macpherson and Hirsch (1995) of the effect of the gender composition of occupations on female (and male) earnings. Using large representative national samples of employees from the Current Population Survey, cross-sectional estimates of the impact of...

This paper considers the role of gender in the promotion process and the impact of promotion on wages and wage growth, using data from the National Longitudinal Survey of Youth (NLSY79). Its focus is upon mid-career promotion and wages, thereby complementing extant studies of the NLSY that...

This paper considers the role of gender in the promotion process and the impact of promotion on wages and wage growth, using data from the National Longitudinal Survey of Youth (NLSY79). Its focus is upon mid-career promotion and wages, thereby complementing extant studies of the NLSY that...