Son preference is strong in Vietnam, according to attitudinal surveys and studies of contraceptive prevalence and birth hazards. These techniques assume a single model is valid for all families, but it is more plausible that son preference is found for some, but not all, families. Heterogeneous...

We consider a nonparametric random design regression model in which the response variable is possibly right censored. The aim of this paper is to estimate the conditional destribution function and the conditional x-quantile of the response variable. We restrict attention to the case where the...

This paper proposes to use a semi parametric regression method, named Sliced Inverse Regression (SIR hereafter), to analyse ambulatory blood pressure monitoring data.

Sliced inverse regression is a dimension reduction technique for exploring non-linear relationships between an output variable and a vector of input variables. Motivated by a data set of income distributions and economic indicators of french cities, we adress the problem of modelling a family of...

This paper tries to reconcile incentive theory with transaction costs theory. we first discuss the fundamental assumptions underlying the use of the Revelation Principle in the standard mecanisme design literature and show how various contractual incompletenesses and externalities induced by...

Dans cet article, nous proposons un cadre unifie permettant de rendre compte des developpements les plus recents de la theorie de la discrimination par le prix. Ces developpements ont pour denominateur commun le desir de relacher les hypotheses sous-tendants le cas desormais classique de la...

This paper pursues three objectives in the context of multiple regression models: 1) To give a rationale for model selection criteria which combine a badness of fit term (such as minus twice the log likelihood) with a measure of complexity of a model. 2) To investigate the asymptotic consistency...