This paper studies signs and reasons of decline of job stability in West Germany. Using data from the German Socio-Economic Panel 1984-1997, we look at two measures for job stability. Based on repeated cross sectional data we first show that medium elapsed tenure declined for men. Secondly, we...

In this paper we motivate, specify and estimate a model in which the intra-day volatilty process affects the inter-transaction duration process and vice versa. In order to solve the estimation problems implied by this interdependent formulation, we first propose a GMM estimation procedure for...

This paper investigates whether job stability in western Germany shows any signs of decline and compares the findings to evidence for the US and the UK. Cross sectional data and calendar information from the German Socioeconomic Panel 1984-1997 are combined allowing to check possible influences...

A primary goal in modelling the dynamics of implied volatility surfaces (IVS) aims at reducing complexity. For this purpose one fits the IVS each day and applies a principal component analysis using a functional norm. This approach, however, neglects the degenerated string structure of the...

In this paper bilateral models formalizing monthly growth of US imports and exports are employed to investigate the potential of nonlinear relationships linking exchange rate uncertainty and trade growth. Parametric linear and nonlinear as well as semiparametric time series models are evaluated...

This paper estimates the probability distribution of relative county unemployment in Britain for the years 1981-1995. We find that the distribution is unimodal in all years, with a falling variance between 1989 and 1994. We use bootstrap methods to determine critical values for the two tails of...

We develop a new test of a parametric model of a conditional mean function against a nonparametric alternative. The test adapts to the unknown smoothness of the alternative model and is uniformly consistent against alternatives whose distance from the parametric model converges to zero at the...

We propose a new estimator for nonparametric regression based on local likelihood estimation using an estimated error score function obtained from the residuals of a preliminary nonparametric regression. We show that our estimator is asymptotically equivalent to the infeasible local maximum...

In mathematical finance diffusion models are widely used and a variety of different parametric models for the drift and diffusion coefficient coexist in the literature. Since derivative prices depend on the particular parametric model of the diffusion coefficient function of the underlying, a...

We consider problems in modelling job-matching in the Czech Republic during the transition to a market economy. Special interest is devoted to functional form considerations and the analysis of returns to scale of the matching function. This explorative study aims to shed some light into the...