L'allègement des travaux domestiques et l'accroissement de la part de revenu du ménage sur lequel les femmes ont un pouvoir de décision sont deux objectifs de développement complémentaires quoique motivés par des raisons différentes. Pour atteindre ces objectifs, il convient de comprendre...

We develop a reliable Bayesian inference for the RIF-regression model of Firpo, Fortin and Lemieux (Econometrica, 2009) in which we first estimate the log wage distribution by a mixture of normal densities. This approach is pursued so as to provide better estimates in the upper tail of the wage...

This paper provides a new estimation of an international poverty line based on a Bayesian approach. We found that the official poverty lines of the poorest countries are related to the countries' mean consumption level. This new philosophy is to be compared to the previous assumptions made by...

This work presents a contribution on operational risk under a general Bayesian context incorporating information on market risk pro le, experts and operational losses, taking into account the general macroeconomic environment as well. It aims at estimating a characteristic parameter of the...

According to the last proposals of the Basel Committee on Banking Supervision, banks under the Advanced Measurement Approach (AMA) must use four different sources of information to assess their Operational Risk capital requirement. The fourth including "business environment and internal control...

While methodologies and survey techniques recorded progress over the years, corruption measurement remains a many-headed monster. Since 2003 and the first publication of Transparency International's Global Corruption Barometer, researchers have access to population's feeling about the corruption...

In this paper, we provide a new empirical analysis of the dynamic portfolio decisions of households by simultaneously considering their stock market participation and home tenure choices. There is already a huge body of literature on housing status (own/rent) decisions and many contributions...

The determinants of venture capital investment have attracted a significant amount of attention from both academics and policymakers. We use a version of the Keuschnigg-Nielsen model for venture-capital-financed projects to condition our analysis on a reasonable set of exogenous variables but we...

We propose a method for estimating hurdle rates for firms' investments in pollution abatement technology, using ex post data. The method is based on a structural option value model where the future price of polluting fuel is the major source of uncertainty facing the firm. The econometric...

We propose a method for estimating hurdlerates for firms' investments in pollution abatement technology, using expost data. The method is based on a structural option value model where thefuture price of polluting fuel is the major source of uncertainty facing thefirm. The econometric procedure...