Arbeitspapier
Inference for structural impulse responses in SVAR-GARCH models
Conditional heteroskedasticity can be exploited to identify the structural vector autoregressions (SVAR) but the implications for inference on structural impulse responses have not been investigated in detail yet. We consider the conditionally heteroskedastic SVAR-GARCH model and propose a bootstrap-based inference procedure on structural impulse responses. We compare the finite-sample properties of our bootstrap method with those of two competing bootstrap methods via extensive Monte Carlo simulations. We also present a three-step estimation procedure of the parameters of the SVAR-GARCH model that promises numerical stability even in scenarios with small sample sizes and/or large dimensions.
- Language
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Englisch
- Bibliographic citation
-
Series: Working Paper ; No. 281
- Classification
-
Wirtschaft
Hypothesis Testing: General
Estimation: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- Subject
-
Bootstrap
conditional heteroskedasticity
multivariate GARCH
structural impulse responses
structural vector autoregression
- Event
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Geistige Schöpfung
- (who)
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Bruder, Stefan
- Event
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Veröffentlichung
- (who)
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University of Zurich, Department of Economics
- (where)
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Zurich
- (when)
-
2018
- DOI
-
doi:10.5167/uzh-150862
- Handle
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Bruder, Stefan
- University of Zurich, Department of Economics
Time of origin
- 2018
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