Local Projection Inference in High Dimensions

Robert Adamek, Stephan Smeekes and Ines Wilms

Papers from arXiv.org

Abstract: In this paper, we estimate impulse responses by local projections in high-dimensional settings. We use the desparsified (de-biased) lasso to estimate the high-dimensional local projections, while leaving the impulse response parameter of interest unpenalized. We establish the uniform asymptotic normality of the proposed estimator under general conditions. Finally, we demonstrate small sample performance through a simulation study and consider two canonical applications in macroeconomic research on monetary policy and government spending.

Date: 2022-09, Revised 2024-04
New Economics Papers: this item is included in nep-ecm and nep-ets
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http://arxiv.org/pdf/2209.03218 Latest version (application/pdf)

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Journal Article: Local projection inference in high dimensions (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2209.03218

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