Mean Group Distributed Lag Estimation of Impulse Response Functions in Large Panels
Abstract: This paper develops Mean Group Distributed Lag (MGDL) estimation of impulse responses in large panels with one or two cross-section dimensions. Sufficient conditions for asymptotic consistency and asymptotic normality are derived, and satisfactory small sample performance is documented using Monte Carlo experiments. MGDL estimators are used to estimate the effects of crude oil price increases on U.S. city- and product-level retail prices.
JEL Classification: C23;
File format is application/pdf
Description: Full text
Provider: Federal Reserve Bank of Dallas
Part of Series: Globalization Institute Working Papers
Publication Date: 2023-09-22