Conventional theory says that innovations first diffuse slowly, then at faster paces, and finally at asymptotically declining rates. Economists and others explain such behavior with a variety of logistic models. Early models like the contagion model derive their predictive power from reliance on...

This study highlights the role of poverty factor in the explanation of child labor, by taking the work of Basu & Van (1999) as a theoretical basis. Thus, besides the search for the determinants of child labor by a multivariate approach, it tests the hypothesis of the luxury axiom which link...

BASED ON A SERIES OF SURVEYS ON THE LIVING AND MIGRATION CONDITIONS OF CHILDREN, THIS STUDY HIGHLIGHTS THE MAGNITUDE AND CHARACTERISTICS OF CHILD LABOUR IN BURKINA FASO, CÔTE D'IVOIRE AND MALI. FOUR (04) MAJOR LESSONS WERE LEARNT : (I) THE OVERWHELMING MAJORITY OF CHILDREN WORKING IN VIOLATION...

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...

We establish a `map' for describing a wide class of Limited Dependent Variables models much used in the econometric literature. The classification system, or language, is an extension of Amemiya's typology for tobit models and is intended to facilitate communication among researchers. The class...

We establish the strong consistency and asymptotic normality of the quasi-maximum likelihood estimator of the parameters of a class of multivariate GARCH processes. The conditions are mild and coincide with the minimal ones in the univariate case. In particular, contrary to the current...

We introduce the notion of continuously invertible volatility models that relies on some Lyapunov condition and some regularity condition. We show that it is almost equivalent to the volatilities forecasting efficiency of the parametric inference approach based on the Stochastic Recurrence...

The aim of this work is to investigate the asymptotic properties of weighted least squares (WLS) estimation for causal and invertible periodic autoregressive moving average (PARMA) models with uncorrelated but dependent errors. Under mild assumptions, it is shown that the WLS estimators of PARMA...

This paper develops a systematic procedure of statistical inference for the ARMA model with unspecified and heavy-tailed heteroscedastic noises. We first investigate the least absolute deviation estimator (LADE) and the self-weighted LADE for the model. Both estimators are shown to be strongly...