Time discrete nonparametric survival analysis using panel data

In this contribution a nonparametric estimator for the hazard function will be presented for time-discrete survival analysis. The estimator is derived from a likelihood function based upon time-discrete counting processes. With martingale techniques asymptotic properties of the estimator of the cumulative hazard function are shown. Since we consider a nonparametric approach we can only estimate remigrant behaviour referring to the length of stay, causes which are due to the differences are not part of this investigation. The estimations are carried out with a module of PRODISA, a program package develo-ped for the analysis of time-discrete duration and panel data for the nonparametric and (semi)parametric case. For analysing the remigrant behaviour of different foreign nations (Italy, Yugoslavia, Greece, Spain and Turkey) the Socio-Economic Panel (SOEP) is used as a data basis.