Macroeconomic Responses to Uncertainty Shocks: The Perils of Recursive Orderings

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Autori principali: Lutz Kilian, Michael D. Plante, Alexander W. Richter
Natura: Artículo Open Access
Pubblicazione: Wiley 2025
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author Lutz Kilian
Michael D. Plante
Alexander W. Richter
author_facet Lutz Kilian
Michael D. Plante
Alexander W. Richter
Lutz Kilian
Michael D. Plante
Alexander W. Richter
collection Wiley Open Access
contents Macroeconomic Responses to Uncertainty Shocks: The Perils of Recursive Orderings Lutz Kilian Michael D. Plante Alexander W. Richter Journal of Applied Econometrics ABSTRACTA common practice in empirical macroeconomics is to examine alternative recursive orderings of the variables in structural vector autoregressive (VAR) models. When the implied impulse responses look similar, the estimates are considered trustworthy. When they do not, the estimates are used to bound the true response without directly addressing the identification challenge. A leading example of this practice is the literature on the effects of uncertainty shocks on economic activity. We prove by counterexample and show by simulation that this practice is invalid, whether the data generating process is a structural VAR model or a dynamic stochastic general equilibrium model. Simulation evidence suggests that the underlying identification challenge can be addressed using an instrumental variables estimator. 10.1002/jae.3113 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1002/jae.3113
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id wiley_oa_10_1002_jae_3113
institution Wiley Open Access
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publisher Wiley
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spellingShingle Macroeconomic Responses to Uncertainty Shocks: The Perils of Recursive Orderings
Lutz Kilian
Michael D. Plante
Alexander W. Richter
Journal of Applied Econometrics
Macroeconomic Responses to Uncertainty Shocks: The Perils of Recursive Orderings Lutz Kilian Michael D. Plante Alexander W. Richter Journal of Applied Econometrics ABSTRACTA common practice in empirical macroeconomics is to examine alternative recursive orderings of the variables in structural vector autoregressive (VAR) models. When the implied impulse responses look similar, the estimates are considered trustworthy. When they do not, the estimates are used to bound the true response without directly addressing the identification challenge. A leading example of this practice is the literature on the effects of uncertainty shocks on economic activity. We prove by counterexample and show by simulation that this practice is invalid, whether the data generating process is a structural VAR model or a dynamic stochastic general equilibrium model. Simulation evidence suggests that the underlying identification challenge can be addressed using an instrumental variables estimator. 10.1002/jae.3113 http://onlinelibrary.wiley.com/termsAndConditions#vor
title Macroeconomic Responses to Uncertainty Shocks: The Perils of Recursive Orderings
topic Journal of Applied Econometrics
url https://onlinelibrary.wiley.com/doi/10.1002/jae.3113