Unité mixte de recherche 7235

Does Bayesian Shrinkage Help to Better Reflect What Happened during the Subprime Crisis?

Khaled Guesmi, Ilyes Abid, Olfa Kaabia

[en]We study the contagion effects of a U.S. housing shock on OECD countries over the period of the subprime crisis. Considering a large database containing national macroeconomic, financial, and trade dynamic variables for 17 OECD countries, we evaluate forecasting accuracy, and perform a structural analysis exercise using VAR models of different sizes: a standard VAR estimated by OLS and a MEDIUM and LARGE VARs estimated by a Bayesian shrinkage procedure. Our main findings are that: First, the largest specification outperforms the smallest one in terms of forecast accuracy. Second, the MEDIUM VAR outperforms both the LARGE BVAR and the SMALL VAR in the case of structural analysis. So the MEDIUM VAR is sufficient to provide plausible impulse responses, and reproduce more realistically what happened during the subprime crisis. Third, the Bayesian shrinkage procedure is preferable to the standard OLS estimation in the case of an international contagion study.[/en]


mardi 17 mai 2022

Rencontres économiques

9h30 à 11h30

Comment se débarrasser des énergies fossiles et développer les énergies renouvelables dans un monde en crise ?

jeudi 19 mai 2022


Christophe Blot

Are all central bank asset purchases the same?

lundi 23 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Clara Jean (Grenoble Ecole de Management)

The Value of Your Data: Privacy and Personal Data Exchange Networks

mardi 24 mai 2022

Recherche et Economie et Socioéconomie Politique, des Institutions et des Régulations (RESPIR)

Alice Sindzingre (CEPN) et Fabrice Tricou

De 13h30 à 15h30

Six forms of hierarchy for a theoretical analysis of capitalism

lundi 30 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Antoine Dubus (ETH Zurich)

Salle G110

Data Driven Mergers and Acquisitions with Information Synergies

mardi 31 mai 2022

Series of Webinars on Economics of Environment, Energy and Transport (SWEEET)

Juan Pablo Montero (PUC)


jeudi 9 juin 2022


Rémi Generoso


jeudi 9 juin 2022

Groupe de travail « Intelligence artificielle »

Hugo Le Picard (IFRI)

Salle G614B

Le deep learning au service de l’analyse des énergies renouvelables en Afrique

Inscription aux Newsletters