En génétique des populations, les modèles sont souvent complexes ce qui rend l'évaluation de la vraisemblance difficile, si ce n'est impossible. En revanche, des mécanismes de génération de données sont parfois disponibles ce qui explique pourquoi les méthodes d'inférence bayésienne...

The recent observed decline of business cycle variability suggests that broad macroeconomic risk may have fallen as well. This may in turn have some impact on equity risk premia. We investigate the latent structures in the volatilities of the business cycle and stock market valuations by...

This review of the literature presents the main tools and results of research at the crossroads between finance and macroeconomics. The literature seeks to jointly analyze the economic cycle and fluctuations in financial-asset prices.Our article follows this approach:we offer a critical analysis...

This paper shows that a neoclassical model with standard assumptions but endowed with an explicit age structure of the population, converges to its balanced growth path with damped oscillations. It therefore reproduces a trend-reverting process with short run fluctuations that is displayed by...

Managers in the fundraising and public sectors face the constant challenge of soliciting donations from a population who may or may not have donated before. Rather than merely asking respondents what they wish to donate, it is standard practice to present a set of suggested amounts – the...

Using several unique data sets on wage agreements at both industry and firm levels in France, we document stylized facts on wage stickiness and the impact of wage-setting institutions on wage rigidity. First, the average duration of wages is a little less than one year and around 10 percent of...

The euro area as a whole has experienced a marked downward trend in inflation over the past decades and, concomitantly, a protracted period of depressed activity. Can permanent and gradual shifts in monetary policy be held responsible for these dynamics? To answer this question, we embed...

This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an...

In this paper we derive adaptive non-parametric rates of concentration of the posterior distributions for the density model on the class of Sobolev and Besov spaces. For this purpose, we build prior models based on wavelet or Fourier expansions of the logarithm of the density. The prior models...