the program. The literature uses linear probability models and (Cox) proportional hazard models to predict duration … outcomes. These either focus on one threshold duration or impose proportionality. In this paper we propose a nonparametric … work from unemployment insu rance, we do not find that the weighting method outperforms Cox survivor function predictions. …

abolished the dependence of unemployment insurance benefits on the elapsed unemployment duration and simultaneously introduced … unemployment duration is positive and significant. Neglecting selectivity leads to an underestimation of the effects in absolute …We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …

abolished the dependence of unemployment insurance benefits on the elapsed unemployment duration and simultaneously introduced … unemployment duration is positive and significant. Neglecting selectivity leads to an underestimation of the effects in absolute …We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …

In this paper we simultaneously analyze transitions from unemployment to employment and to nonparticipation. We … estimate a dependent competing risks model with nonparametric specifications of the destination-specific duration dependence … and unobserved heterogeneity terms. We use a unique population data set of French unemployment over the period 1988 …

unemployment duration. It may very well be that dropping out, i.e. attrition, often occurs due to employment. In the analysis, we … unemployment benefits on the escape rate to employment. In this paper we take a closer look at the 20 per cent of workers who were … refer to these individuals as misclassified in that they are typically treated as if their unemployment spell went beyond …

migration of unemployed workers in Germany. Our findings weakly indicate that reducing the entitlement length for unemployment … dependent competing risks. We apply our framework to empirically evaluate the effect of unemployment benefits on observed …

. As an application we estimate nonparametric conditional quantile functions with German administrative unemployment … duration data. …

estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on … approach provides accurate effect estimates, especially if time-varying variation in the unemployment rate of the local labor …

estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on … approach provides accurate effect estimates, especially if time-varying variation in the unemployment rate of the local labor …

unemployment insurance benefits on the duration of joblessness in Austria, where the benefit schedule has kinks at the minimum and …We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of … institutional settings where a policy variable (such as weekly unemployment benefits) is determined by an observed but potentially …