Ulrich Aiounou*, Nastasia Henry**

Séminaires internes
phd seminar

Ulrich Aiounou*, Nastasia Henry**

AMSE
Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso*
Quantitative Easing and Redistribution: The Role of Macroeconomic Imbalances**
Co-écrit avec
Sullivan Hué, Sébastien Laurent, Emmanuel Flachaire*
Lieu

IBD Amphi

Îlot Bernard du Bois - Amphithéâtre

AMU - AMSE
5-9 boulevard Maurice Bourdet
13001 Marseille

Date(s)
Mardi 4 février 2025| 11:00 - 12:30
Contact(s)

Philippine Escudié : philippine.escudie[at]univ-amu.fr
Lucie Giorgi : lucie.giorgi[at]univ-amu.fr
Kla Kouadio : kla.kouadio[at]univ-amu.fr
Lola Soubeyrand : lola.soubeyrand[at]univ-amu.fr

Résumé

*Post-Double-Lasso is becoming the most popular method for estimating linear regression models with many covariates when the purpose is to obtain an accurate estimate of a parameter of interest, such as an average treatment effect. However, this method can suffer from substantial omitted variable bias in finite sample. We propose a new method called Post-Double-Autometrics, which is based on Autometrics, and show that this method outperforms Post-Double-Lasso. Its use in a standard application of economic growth sheds new light on the hypothesis of convergence from poor to rich economies.

**Do macroeconomic imbalances among monetary union members shape the transmission of unconventional monetary policy? If so, how do they affect its redistributional effects? To address these questions, I develop a Two-country two-agent New Keynesian (TANK2) model, replicating core and peripheral countries in the Eurozone. I introduce heterogeneity in their financial constraints to capture macroeconomic imbalances between these countries during the Global Financial Crisis. The next step involves estimating local projections à la Jorda (2005) for Eurozone countries during the Quantitative Easing period.