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. …

The purpose of the article is to present the analysis of the influence of the unemployment benefit on the duration of … the registered unemployment spells. The authors made a hypothesis that the very fact of receiving the benefit prolongs the … job seeking time and determines the intensity of unemployment leaving. The power of this influence varies depending on a …

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 …

studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First … effect of unemployment on life satisfaction. -- ordered response ; panel data ; correlated heterogeneity ; incidental …

studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First … effect of unemployment on life satisfaction. -- ordered response ; panel data ; correlated heterogeneity ; incidental …

to escape unemployment by becoming self-employed or being hired at an initially reduced cost for the employer. > In … by comparing the post-program duration of employment for the two programs. In addition, we focus in some detail on the … selection process may bias the effect estimate in the non-linear duration model that we use. Simulations help us to determine …

-metric two-step estimation methods …

account the larger size of longitudinal micro datasets used for the estimation of discrete time duration models, hsmlogit also …This article presents hsmlogit, a new Stata command that estimates multispells discrete time competing risks duration … models with unobserved heterogeneity. hsmlogit allows for the estimation of one, two and up to three competing risks, as well …

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison … regression. In effect, we merge duration analysis and discontinuity analysis. We use the introduction of the NDYP program for …