This paper studies how unemployment and employment durations for immigrants and natives respond differently to changes in the economic conditions due to the 2008 crisis and to the receipt of unemployment benefits when the economy declines. Using administrative data for Spain, we estimate...

This paper considers the estimation of discrete time duration models. We highlight the enhance identification opportunities embedded in multiple spell data to separately identify the effect of duration dependence and individual time invariant unobserved heterogeneity. We consider two types of...

This paper studies how unemployment and employment durations for immigrants and natives respond differently to changes in the economic conditions due to the 2008 crisis and to the receipt of unemployment benefits when the economy declines. Using administrative data for Spain, we estimate...

We model credit rating histories as continuous-time discrete-state Markov processes. Infrequent monitoring of the debtors’ solvency will result in erroneous observations of the rating transition times, and consequently in biased parameter estimates. We develop a score test against such...

We study the identification of a mixed proportional hazard model with lagged duration dependence when data provide multiple outcomes per stratum. Within strata variation is exploited to non-parametrically identify lagged duration dependence in more general models than in the literature.

This paper considers the estimation of discrete time duration models. We highlight the enhance identification opportunities embedded in multiple spell data to separately identify the effect of duration dependence and individual time invariant unobserved heterogeneity.

A researcher using complex longitudinal survey data for event history analysis has to make several choices that affect the analysis results. These choices include the following: whether a design-based or a model-based approach for the analysis is taken, which subset of data to use and, if a...