Unité mixte de recherche 7235

Fat-Tail Distributions and Business-Cycle Models

Guido Ascari, Giorgio Fagiolo, Andrea Roventini

[en]Recent empirical findings suggest that macroeconomic variables are seldom normally distributed. For example, the distributions of aggregate output growth-rate time series of many OECD countries are well approximated by symmetric exponential-power (EP) densities, with Laplace fat tails. In this work, we assess whether Real Business Cycle (RBC) and standard medium-scale New-Keynesian (NK) models are able to replicate this statistical regularity. We simulate both models drawing Gaussian- vs Laplace-distributed shocks and we explore the statistical properties of simulated time series. Our results cast doubts on whether RBC and NK models are able to provide a satisfactory representation of the transmission mechanisms linking exogenous shocks to macroeconomic dynamics.[/en]

AGENDA

jeudi 1 juin 2023

Lunch

Quentin Hoarau

Feebate on new vehicles : pass-through on the second-hand market and distributional impacts

vendredi 2 juin 2023

Rencontres économiques

9h30 à 11h30

Le renouveau industriel français est-il encore possible ?

jeudi 8 juin 2023

Doctorants

Sahil Chopra (Université Sorbonne Paris-Nord)

Economics of litigation : Securities class action with third-party funding

lundi 12 juin 2023

Law, Institutions and Economics in Nanterre (LIEN)

Arthur Silve (IAST / Univ. Laval)

TBA

jeudi 15 juin 2023

Lunch

Guillaume Pierné

TBA

lundi 19 juin 2023

Law, Institutions and Economics in Nanterre (LIEN)

Juan Mora-Sanguinetti (Banco de Espana)

TBA

jeudi 22 juin 2023

Doctorants

Jules Chaperon

TBA

vendredi 1 septembre 2023

Professeurs invités

Ken Yahagi

Inscription aux Newsletters