This paper studies identification and inference in transformation models with endogenous censoring. Many kinds of duration models, such as the accelerated failure time model, proportional hazard model, and mixed proportional hazard model, can be viewed as transformation models. I allow the...

The purpose of this study is to investigate the effect of time-aggregation in discrete and contunous-time hazard models. A Monte Carlo study is conducted in which data are generated according to underlying contunous and discrete-time processes, which data are aggregated into daily, weekly and...

The apprenticeship system is the most important source of formal post-secondary training in Germany. Our paper contributes to the ongoing debate as to why firms are willing to invest in such training even though many apprentices will leave the training firm soon after completion of the...

If fertility reflects the choice of households, results of their choice (duration between successive births and health of the children) cannot be considered to be randomly determined. While most existing studies of child health tend to overlook the effects of fertility selection on child health,...

In view of higher fertility and mortality rates in Pakistan compared to India, this paper examines the two-way relationship between birth interval and child mortality and compares the behaviour of households in the Indian and Pakistani provinces of Punjab. Birth interval and child survival are...

[Background] There is an agreement in the fact that cancer incidence in transplant recipients increases at a rate disproportionately greater than in the general population. Several clinical studies have identified cancer risk factors, such as age, male gender, tobacco, UV radiation, viral...

This research develops semiparametric kernel-based estimators of state-specific conditional transition intensitiesm, hs (y|x), for duration models with right-censoring and/or multiple destinations (competing risks). Both discrete and continous duration data are considered. The maintained...

The purpose of this study is to investigate the effect of time-aggregation in discrete and contunous-time hazard models. A Monte Carlo study is conducted in which data are generated according to underlying contunous and discrete-time processes, which data are aggregated into daily, weekly and...

Many widely used models, including proportional hazards models with un- observed heterogeneity, can be written in the form (Y ) = min[ 0 X + U; C], where is an unknown increasing function, the error term U has unknown distribution function and is independent of X, C is a random censoring...

This paper proposes a semiparametric proportional hazard model for bivariate duration data in the analysis of two-component systems. Examples include the two infection times of the left and the right kidneys of patients and the two retirement times of married couples. As a generalization of the...