Staff Reports
Micro Responses to Macro Shocks
Number 1090
March 2024

JEL classification: C32, C33, C38, C51

Authors: Martín Almuzara and Víctor Sancibrián

We study estimation and inference in panel data regression models when the regressors of interest are macro shocks, which speaks to a large empirical literature that targets impulse responses via local projections. Our results hold under general dynamics and are uniformly valid over the degree of signal-to-noise of aggregate shocks. We show that the regression scores feature strong cross-sectional dependence and a known autocorrelation structure induced only by leads of the regressor. In general, including lags as controls and then clustering over the cross-section leads to simple, robust inference.

Full Article
Author Disclosure Statement(s)
Martín “Tincho” Almuzara
I declare that I have no relevant or material financial interests that relate to the research described in this paper. Prior to circulation, this paper was reviewed in accordance with the Federal Reserve Bank of New York review policy.

Víctor Sancibrián
I declare that I have no relevant or material financial interests that relate to the research described in this paper. Prior to circulation, this paper was reviewed in accordance with the Federal Reserve Bank of New York review policy.
Suggested Citation:
Almuzara, Martín and Víctor Sancibrián. 2024. “Micro Responses to Macro Shocks.” Federal Reserve Bank of New York Staff Reports, no. 1090, March. https://doi.org/10.59576/sr.1090

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