Arbeitspapier
Balanced bootstrap joint confidence bands for structural impulse response functions
Constructing joint confidence bands for structural impulse response functions based on a VAR model is a difficult task because of the non-linear nature of such functions. We propose new joint confidence bands that cover the entire true structural impulse response function up to a chosen maximum horizon with a prespecified probability (1 − α), at least asymptotically. Such bands are based on a certain bootstrap procedure from the multiple testing literature. We compare the finite-sample properties of our method with those of existing methods via extensive Monte Carlo simulations. We also investigate the effect of endogenizing the lag order in our bootstrap procedure on the finite-sample properties. Furthermore, an empirical application to a real data set is provided.
- Sprache
-
Englisch
- Erschienen in
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Series: Working Paper ; No. 246
- Klassifikation
-
Wirtschaft
Hypothesis Testing: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- Thema
-
Bootstrap
impulse response functions
joint confidence bands
vector autoregressive process
- Ereignis
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Geistige Schöpfung
- (wer)
-
Bruder, Stefan
Wolf, Michael
- Ereignis
-
Veröffentlichung
- (wer)
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University of Zurich, Department of Economics
- (wo)
-
Zurich
- (wann)
-
2018
- DOI
-
doi:10.5167/uzh-136365
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Bruder, Stefan
- Wolf, Michael
- University of Zurich, Department of Economics
Entstanden
- 2018