Dynamic discrete-choice models are an important tool in studies of state dependence in benefit receipt. A common assumption of such models is that benefit receipt sequences follow a conditional Markov process. This property has implications for how estimated period-to-period benefit transition...

Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the functional relationship and of the error...

A competing risks model is a model for multiple durations that start at the same point of time for a given subject, where the subject is observed until the first duration is completed and one also observes which of the durations is completed first. This article gives an overview of the main...

This paper analyzes the allocation of workers to jobs and the wage distribution in Germany. Our main contribution is to reconcile prominent empirical models of wage dispersion (Abowd et al., 1999; Card et al., 2013) with theoretical sorting models (Shimer and Smith, 2000; Eeckhout and Kircher, 2011;...

Increasing wage inequality is associated with changes in the degree of labor market sorting, i.e. the allocation of workers to firms. To measure sorting, we propose a new method which disentangles the respective contributions of worker and firm heterogeneity to wage inequality. Inspired by...

Social comparisons are important in the employment sphere. A "culture of unemployment" may evolve and prevail because it is optimal for an individual to remain unemployed when other unemployed individuals constitute his main reference group. We advance the idea that by making the receipt of...

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure. We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...

The issue of whether unemployment benefits should increase or decrease over the unemployment spell is analyzed in an analytically tractable model allowing moral hazard, adverse selection and hidden savings. Analytical results show that when the search productivity of unemployed is constant over...

The paper presents a model that allows a unified analysis of sickness absence and search unemployment. Sickness appears as random shocks to individual utility functions, interacts with individual searchand labor supply decisions and triggers movements across labor force states. The employed...

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure.We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...