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“Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly”

Bibliographic Data

ID19418924
AuthorsSílvia Gonçalves (McGill University), Śılvia Gonçalves (McGill University, corresponding author), Ana Maria Herrera (0009-0007-9965-0116, University of Kentucky), Elena Pesavento (0000-0002-6975-2433, Emory University)
Year2025
Volume43
Issue4
Pages755-760
Publication date2025-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2025.2495028
OpenAlexW4416186177
LanguageEN
References cited6

The ease of estimating linear local projections has made them a popular tool for impulse response function analysis. Kolesár and Plagborg-Møller’s main goal is to inquire whether local projections (LP) estimands of impulse response functions have a causal interpretation when the data generating process (DGP) is nonlinear. This discussion focuses on two questions. First, how should we interpret the magnitude of the linear LP estimands in nonlinear environments? Second, is the linear LP useful when the researcher is interested in the effects of large shocks rather than small shocks

Nonlinear system · Complex Systems and Decision Making · Critical Realism in Sociology · Economic Theory and Institutions

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Citation velocityhistorical
Highly citedNo

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