A quantile regression approach for estimating panel data models using instrumental variables

We introduce a quantile regression approach to panel data models with endogenous variables and individual effects correlated with the independent variables. We find newly developed quantile regression methods can be easily adapted to estimate this class of models efficiently.     

Testing for uniform wage trends in West-Germany: A cohort analysis using quantile regressions for censored data

The rise of unemployment in West Germany is often attributed to an inflexibility of the wage structure in the face of a skill bias in labor demand trends. In addition, there is concern in Germany that during the 70s and 80s unions were pursuing a too egalitarian wage policy. In a cohort analysis, we estimate quantile regressions of wages taking account of the censoring in the data. We present a new framework to describe trends in the entire wage distribution across education and age groups in a parsimonious way. We explore whether wage trends are uniform across cohorts, thus defining a macroeconomic wage trend. Our findings are that wages of workers with intermediate education levels, among them especially those of young workers, deteriorated slightly relative to both high and low education levels. Wage inequality within age-education groups stayed fairly constant. Nevertheless, the German wage structure was fairly stable, especially in international comparison. The results appear consistent with a skill bias in labor demand trends, recognizing that union wages are only likely to be binding floors for low-wage earners.