Institutional Affiliation: New York University
|High Wage Workers Work for High Wage Firms|
with : w24074
We develop a new approach to measuring the correlation between the types of matched workers and firms. Our approach accurately measures the correlation in data sets with many workers and firms, but a small number of independent observations for each. Using administrative data from Austria, we find that the correlation between worker and firm types lies between 0.4 and 0.6. We use artificial data sets with correlated worker and firm types to show that our estimator is accurate. In contrast, the Abowd, Kramarz and Margolis (1999) fixed effects estimator suggests no correlation between types in our data set. We show both theoretically and empirically that this reflects an incidental parameter problem.
|Decomposing Duration Dependence in a Stopping Time Model|
with , : w22188
We develop a dynamic model of transitions in and out of employment. A worker finds a job at an optimal stopping time, when a Brownian motion with drift hits a barrier. This implies that the duration of each worker's jobless spells has an inverse Gaussian distribution. We allow for arbitrary heterogeneity across workers in the parameters of this distribution and prove that the distribution of these parameters is identified from the duration of two spells. We use social security data for Austrian workers to estimate the model. We conclude that dynamic selection is a critical source of duration dependence.