Modelling strategies for value-added multilevel models are examined. These types of models typically include an endogenous variable and this causes difficulties for the standard estimation techniques that are commonly used to analyse multilevel models. Two alternative estimation strategies are...

In most democracies, at least two out of any three individuals vote for the same party in sequential elections. Here I show that stands on the issues, candidates' attributes and individuals' demographics do not account for all of the persistence over time in voting decisions. I present a new...

This paper deals with the estimation and testing of conditional duration models by looking at the density and baseline hazard functions. More precisely, we focus on the distance between the aprametric density (or hazard rate) function implied by the duration process and its non-parametric estimate.

This paper illustrates the use of Kullback-Leibler Information (KLI) measure for assessing the relative quality of two approximations to an unknown distribution from which we ca obtain simple random drawings.

This paper presents a new simulated maximum-likelihood method that rests on estimating the likelihood nonparametrically on a simulated sample. We prove that this method, which can be used on very general models, is consistent and asymptotically efficient.

The generalised method of moments (GMM) is combined with the nonparametric estimation of the instrument matrix to obtain an easily computable estimator for the panel probit model. It is based on the specification of the conditional mean of the binary dependent variable in each period, and...

In competing risks model, several failure times arise potentially. The smallest failure time and its index only are observed. In this paper, nonparametric kernel estimators of the joint distribution function of failure times conditional on the covariates are proposed. Their weak or strong...

In this paper we describe a solution to the problem of controlling the size of homoskedasticity tests in linear regression contexts.

This paper introduces a matching model of credit and exchange in which potentiel difficulties in the enforcement of contracts play a central role. The repeated games framework that is developed is used to analyze the pricing and availability of credit, the consequences of information monopoly in...

In this poper we present a consistent spacification test of a parametric regression function against a general nonparametric alternative. The proposed test is based on wavelet estimation ant it is shown to have similar rates of convergence to the more commonly used kernel based tests.