In diesem Beitrag werden nichtparametrisclie Schätzer für die Hazardrate zur Analyse des Rückkehrverhaltens von Gastarbeitern in der Bundesrepublik vorgestellt. Als Datengrundlage dient das jährlich erhobene Sozio-ökonomische Panel, DIW, aus dem die Informationen für griechische,...

In der Literatur wurden verschiedene parametrische Modelle zur Analyse der Heteroskedastie in Zeitreihen von Finanzmarktdaten entwickelt. Eine Möglichkeit, die bedingte Volatilität nichtparametrisch zu erfassen, ist die Kernschätzung von bedingten Quantilen. In diesem Aufsatz werden einige...

The paper compares two approaches to the estimation of panel probit models: the Generalized Method of Moments (GMM) and the Simulated Maximum Likelihood (SML) technique. Both have in common that they circumvent multiple integrations of joint density functions without the need to impose...

The problem of selecting bandwidth for nonparametric regression is investigated. The methodology used here is a double-smoothing procedure with data-driven pilot bandwidths. After giving an extension of the asymptotic result of Hardle, Hall and Marron (1992) by transfering the ideas of Jones,...

Discrete choice models and qualitative response models are intimately related. Usually both are based on a logistic specification. In many applications the two approaches have been combined leading to a 'discrete choice model including socio-economic explanatory variables'. The paper desdribes...

A firm that faces insufficient supply of labor can either increase the wage offer to attract more applicants, or reduce the hiring standard to enlarge the pool of potential employees, or do both. This simultaneous adjustment of wages and hiring standards in response to changes in market...

This paper presents theoretical models and their empirical results for the return and variance dynamics of German stocks. A factor structure is used in order to allow for a parsimonious modeling of the first two moments of returns. Dynamic factor models with GARCH dynamics (GARCH(1,1)-M,...

In this paper we examine small sample properties of a generalized method of moments (GMM) estimation using Monte Carlo simulations. We assume that the generated time series describe the stochastic variance rate of a stock index. We use a mean reverting square-root prooess to simulate the...

The topic of this paper is the estimation uncertainty of the Stock-Watsonand Gonzalo-Granger permanent-transitory decompositions in the frameworkof the cointegrated vector-autoregression. Specifically, we suggest an approach to construct the confidence interval of the transitory component in...