Deconvolving kernel estimators when noise is Gaussian entail heavy calculations. In order to obtain the density estimates numerical evaluation of a specific integral is needed. This work proposes an approximation to the deconvolving kernel which simplifies considerably calculations by avoiding...

Evidence on productivity spillovers from FDI to domestic firms is ambiguous. Incorrect estimation procedures may be one of the sources for the contradictory results obtained in empirical studies on this subject. We observe that inadequacy of the estimation procedures leads to a severe...

Although semiparametric alternatives are available, parametric binary choice models are widely used in practice, in spite of their sensitivity to misspecification. Here we present the results of a simulation study on the finite sample performance of parametric and semiparametric specification...

Single index models are frequently used in econometrics and biometrics. Logit and Probit models are special cases with fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the link function. The bootstrap is used with the aim to...

This paper estimates what characteristics (e.g. location, number of casualties, and type of attack) are associated with an Islamic terrorist attack. This is established by identifying the significant determinants of the probability that an attack had been carried out by Islamic terrorists. For...

This paper examines to what extent low pay jobs can be considered of low quality. For this purpose, we use three waves (1997-1999) of the European Community Household Panel (ECHP) for Portugal. The results indicate that low pay workers report a lower level of job satisfaction when compared with...

This paper analyzes the determinants of the probability of US citizens being victims of terrorist attacks in European countries, taking into account uncontrolled heterogeneity of the data. The analysis employs ITERATE data from February 1968 to December 2002 to ascertain significant...