This paper employs large-scale individual-level panel data-set to determine the changes in the probability of migration and attrition of Hungarian doctors between 2003 and 2011. The study uses event history modelling, competing risk models. The results show that first after the EU accession,...

Based on the microbased panel datasets of the Labour Force Survey between 1998 and 2010 and the administrative Pension Fund data between 2000 and 2006 we analyse the number, composition and subsequent labour market behaviour of former public sector employees in Hungary. We show that the greater...

This paper employs large-scale individual-level panel data-set to determine the changes in the probability of migration and attrition of Hungarian doctors between 2003 and 2011. The study uses event history modelling, competing risk models. The results show that first after the EU accession,...

Based on the microbased panel datasets of the Labour Force Survey between 1998 and 2010 and the administrative Pension Fund data between 2000 and 2006 we analyse the number, composition and subsequent labour market behaviour of former public sector employees in Hungary. We show that the greater...

The incidence and duration of work-absence spells for a sample of Swedish blue-collar workers in 1990 and 1991 are analyzed using the Kaplan-Meier non-parametric estimator, discrete-time hazard regression as well as stratified Cox regression. We focus on the effect of economic incentives, i.e.,...

The paper uses data from a large representative survey of Hungarian higher education graduates (DPR 2010) to study the early labour market effects of field of study and college quality. Propensity score matching average treatment effect method is used to reveal the effect of the field of study,...

The paper uses data from a large representative survey of Hungarian higher education graduates (DPR 2010) to study the early labour market effects of field of study and college quality. Propensity score matching average treatment effect method is used to reveal the effect of the field of study,...

A new family of kernels is suggested for use in heteroskedasticity and autocorrelation consistent (HAC) and long run variance (LRV) estimation and robust regression testing. The kernels are constructed by taking powers of the Bartlett kernel and are intended to be used with no truncation (or...

This paper applies revealed preference theory to the nonparametric statistical analysis of consumer demand. Knowledge of expansion paths is shown to improve the power of nonparametric tests of revealed preference. The tightest bounds on indifference surfaces and welfare measures are derived...