Functional Linear Projection and Impulse Response Analysis

Fuente: arXiv
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Autori principali: Seo, Won-Ki, Seong, Dakyung
Natura: Preprint
Pubblicazione: 2025
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author Seo, Won-Ki
Seong, Dakyung
author_facet Seo, Won-Ki
Seong, Dakyung
contents This paper proposes econometric methods for studying how economic variables respond to function-valued shocks. Our methods are developed based on linear projection estimation of predictive regression models with a function-valued predictor and other control variables. We show that the linear projection coefficient associated with the functional variable allows for the impulse response interpretation in a functional structural vector autoregressive model under a certain identification scheme, similar to well-known Sims' (1972) causal chain, but with nontrivial complications in our functional setup. A novel estimator based on an operator Schur complement is proposed and its asymptotic properties are studied. We illustrate its empirical applicability with two examples involving functional variables: economy sentiment distributions and functional monetary policy shocks.
format Preprint
id arxiv_https___arxiv_org_abs_2503_08364
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Functional Linear Projection and Impulse Response Analysis
Seo, Won-Ki
Seong, Dakyung
Econometrics
This paper proposes econometric methods for studying how economic variables respond to function-valued shocks. Our methods are developed based on linear projection estimation of predictive regression models with a function-valued predictor and other control variables. We show that the linear projection coefficient associated with the functional variable allows for the impulse response interpretation in a functional structural vector autoregressive model under a certain identification scheme, similar to well-known Sims' (1972) causal chain, but with nontrivial complications in our functional setup. A novel estimator based on an operator Schur complement is proposed and its asymptotic properties are studied. We illustrate its empirical applicability with two examples involving functional variables: economy sentiment distributions and functional monetary policy shocks.
title Functional Linear Projection and Impulse Response Analysis
topic Econometrics
url https://arxiv.org/abs/2503.08364