Cet article est une revue de la littérature où le temps passé dans un état est une variable aléatoire issue d’un mélange continu de distributions. Elle s’est constituée à partir de l’estimation de fonctions de hasards et de méthodes d’approximations d’intégrales. Nous...

We use a multivariate hazard model to analyse the ratification behaviour of ILO conventions by developing countries. The model accounts for two random effects: one at the country level, the other at the convention level. After investigating identification, we use a semi-parametric Bayesian...

This paper asks whether external shocks (U.S. interest rates, U.S. industrial production, U.S. stocks prices and world industrial material price) have asymmetric effects on European relative prices (real exchange rates). On 1979-1993 period, the paper finds that two groups of countries may be...

This study compares the predictive performance of the conditional forecasting technique against the unconditional technique. The conditional technique consist of taking into account the information available on an endogenous variable over part of the forecast horizon. We develop a Bayesian VAR...

The main objective of this study is to look for the best model for forecasting inflation rate and real growth for each CEMAC country. Using AR, VAR and BVAR models, it is clear from our study that forecasts made from Bayesian models have a higher predictive power than those made by classical...

This study sheds light on the effect of fiscal policy on the Ivorian economy by measuring the value of the different Keynesian multipliers and the possible origins of GDP fluctuation during the period of this study. For this paper, one preferred a Bayesian estimation of a Dynamic Stochastic...

The succession of banking crises in which most have resulted in huge economic and financial losses, prompted several authors to study their determinants. These authors constructed early warning models to prevent their occurring. It is in this same vein as our study takes its inspiration. In...

Stochastic volatility models, aka SVOL, are more difficult to estimate than standard time-varying volatility models (ARCH). Advances in the literature now offer well tested estimators for a basic univariate SVOL model. However, the basic model is too restrictive for many economic and finance...

En estimation bayésienne, lorsque le calcul explicite de la loi a posteriori du vecteur des paramètres à estimer est impossible, les méthodes de Monte-Carlo par chaînes de Markov (MCMC) [Robert and Casella, 1999] permettent théoriquement de fournir un échantillon approximativement...

Air pollution is an externality whose health costs are high. In our paper we have evaluated the private cost or cost of suffering due to morbidity associated with this pollution. The contingent valuation method (CVM) has allowed us to estimate the average monthly private cost of illness for a...