Arbeitspapier

Narrative restrictions and proxies

We compare two approaches to using information about the signs of structural shocks at specific dates within a structural vector autoregression (SVAR): imposing 'narrative restrictions' (NR) on the shock signs in an otherwise setidentified SVAR; and casting the information about the shock signs as a discretevalued 'narrative proxy' (NP) to point-identify the impulse responses. The NP is likely to be 'weak' given that the sign of the shock is typically known in a small number of periods, in which case the weak-proxy robust confidence intervals in Montiel-Olea et al. (2021) are the natural approach to conducting inference. However, we show both theoretically and via Monte Carlo simulations that these confidence intervals have distorted coverage - which may be higher or lower than the nominal level - unless the sign of the shock is known in a large number of periods. Regarding the NR approach, we show that the prior-robust Bayesian credible intervals from Giacomini et al. (2021a) deliver coverage exceeding the nominal level, but which converges towards the nominal level as the number of NR increases.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP09/22

Klassifikation
Wirtschaft

Ereignis
Geistige Schöpfung
(wer)
Giacomini, Raffaella
Kitagawa, Toru
Read, Matthew
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2022

DOI
doi:10.47004/wp.cem.2022.0922
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Giacomini, Raffaella
  • Kitagawa, Toru
  • Read, Matthew
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2022

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