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...

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...

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...

L'étude utilise les données provenant de 14 des vagues de l'Enquête sociale générale (ESG), réalisée par Statistique Canada auprès des ménages canadiens. Les enquêtes retenues contiennent pour des années de 1986 à 2011 des informations sur le plus haut niveau d'éducation des...

This paper presents standardised test scores results in literacy from 19 provincial and international surveys in education conducted over years 2000 to 2018. The analysis draws on students in provinces, mainly Québec and Ontario, at three stages of education, grade 4 in primary school, grade 8...

La génération montante d’aujourd’hui est la première dont la majorité passe une grande partie de la petite enfance dans un type de structure de garde extérieure au foyer. Parallèlement, la recherche neuroscientifique démontre l’importance capitale, pour tous les aspects du...

This paper presents standardised test scores results in literacy from 19 provincial and international surveys in education conducted over years 2000 to 2018. The analysis draws on students in provinces, mainly Québec and Ontario, at three stages of education, grade 4 in primary school, grade 8...