In recent years, analysis of financial time series has focused largely on data related to market trading activity. Apart from modelling the conditional variance of returns within the GARCH family of models, presently attention has also been devoted to other market variables, especially volumes,...

A crucially important advantage of the semiparametric regression approach to the nonlinear autoregressive conditional duration (ACD) model developed in Wongsaart et al. (2011), i.e. the so-called Semiparametric ACD (SEMI-ACD) model, is the fact that its estimation method does not require a...

We analyze the return-migration of German immigrants using the latest data of the German Socio- Economic Panel from 1984 to 2006. We conduct a Cox proportional hazard model with years of residence in Germany as waiting time. The analysis reveals that return migration is heavily influenced by...

It is becoming more and more important to be highly skilled in order to integrate successfully into the labor market. Highly skilled workers receive higher wages and face a lower risk of becoming unemployed, compared to poorly qualified workers. We analyze the determinants of successful high...

It is becoming more and more important to be highly skilled in order to integrate successfully into the labor market. Highly skilled workers receive higher wages and face a lower risk of becoming unemployed, compared to poorly qualified workers. We analyze the determinants of successful high...

We analyze the return-migration of German immigrants using the latest data of the German Socio- Economic Panel from 1984 to 2006. We conduct a Cox proportional hazard model with years of residence in Germany as waiting time. The analysis reveals that return migration is heavily influenced by...

This paper proposes a simple and improved nonparametric unit-root test. An asymptotic distribution of the proposed test is established. Finite sample comparisons with an existing nonparametric test are discussed. Some issues about possible extensions are outlined.

This paper proposes two simple and new specification tests based on the use of an orthogonal series for a considerable class of cointegrated time series models with endogeneity and nonsta-tionarity. The paper then establishes an asymptotic theory for each of the proposed tests. The first test is...

Since conventional cross-validation bandwidth selection methods do not work for the case where the data considered are serially dependent, alternative bandwidth selection methods are needed. In recent years, Bayesian based global bandwidth selection methods have been proposed. Our experience...

In this paper, we consider a semiparametric single index panel data mode with cross-sectional dependence, high-dimensionality and stationarity. Meanwhile, we allow fixed effects to be correlated with the regressors to capture unobservable heterogeneity. Under a general spatial error dependence...