I propose a method to decompose changes in income inequality into the contributions of policy changes, wage rate changes, and population changes while considering labor supply reactions. Using data from the Socio-Economic Panel (SOEP), I apply this method to decompose the increase in income...

I propose a method to decompose changes in income inequality into the contributions of policy changes, wage rate changes, and population changes while considering labor supply reactions. Using data from the Socio-Economic Panel (SOEP), I apply this method to decompose the increase in income...

We quantify labour market effects of changes in the potential benefit duration (PBD) in Poland. Individual workers' PBD depends on the county unemployment rate relative to the national average - 12 months of PBD above a cut-off of 125 per cent and 6 months below. This cut-off shifted from 125 to...

We quantify labour market effects of changes in the potential benefit duration (PBD) in Poland. Individual workers' PBD depends on the county unemployment rate relative to the national average - 12 months of PBD above a cut-off of 125 per cent and 6 months below. This cut-off shifted from 125 to...

We quantify micro and macro effects of changes in the potential benefit duration (PBD) in unemployment insurance. In Poland, the PBD is 12 months for newly unemployed if the previous year's county unemployment rate is more than 150% of the national average, and 6 months otherwise. We exploit...

We quantify the importance of precautionary labor supply using data from the German Socio- Economic Panel (SOEP) for 2001-2012. We estimate dynamic labor supply equations augmented with a measure of wage risk. Our results show that married men choose about 2.5% of their hours of work or one week...

We quantify the importance of precautionary labor supply using data from the German Socio- Economic Panel (SOEP) for 2001-2012. We estimate dynamic labor supply equations augmented with a measure of wage risk. Our results show that married men choose about 2.5% of their hours of work or one week...

We quantify the importance of precautionary labor supply using data from the German Socio-Economic Panel (SOEP) for 2001-2012. We estimate dynamic labor supply equations augmented with a measure of wage risk. Our results show that married men choose about 2.5% of their hours of work or one week...

We decompose permanent earnings risk into contributions from hours and wage shocks. To distinguish between hours shocks, modeled as innovations to the marginal disutility of work, and labor supply reactions to wage shocks we formulate a life-cycle model of consumption and labor supply. Both...