Inference for Local Projections

Fuente: arXiv
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Autori principali: Inoue, Atsushi, Jordà, Òscar, Kuersteiner, Guido M.
Natura: Preprint
Pubblicazione: 2023
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author Inoue, Atsushi
Jordà, Òscar
Kuersteiner, Guido M.
author_facet Inoue, Atsushi
Jordà, Òscar
Kuersteiner, Guido M.
contents Inference for impulse responses estimated with local projections presents interesting challenges and opportunities. Analysts typically want to assess the precision of individual estimates, explore the dynamic evolution of the response over particular regions, and generally determine whether the impulse generates a response that is any different from the null of no effect. Each of these goals requires a different approach to inference. In this article, we provide an overview of results that have appeared in the literature in the past 20 years along with some new procedures that we introduce here.
format Preprint
id arxiv_https___arxiv_org_abs_2306_03073
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Inference for Local Projections
Inoue, Atsushi
Jordà, Òscar
Kuersteiner, Guido M.
Econometrics
Applications
62P20, 62M10, 91B84
Inference for impulse responses estimated with local projections presents interesting challenges and opportunities. Analysts typically want to assess the precision of individual estimates, explore the dynamic evolution of the response over particular regions, and generally determine whether the impulse generates a response that is any different from the null of no effect. Each of these goals requires a different approach to inference. In this article, we provide an overview of results that have appeared in the literature in the past 20 years along with some new procedures that we introduce here.
title Inference for Local Projections
topic Econometrics
Applications
62P20, 62M10, 91B84
url https://arxiv.org/abs/2306.03073