Arbeitspapier

Semi-structural VAR and unobserved components models to estimate finance-neutral output gap

The paper assesses the impact of adding information on financial cycles on the output gap estimates for eight advanced economies using two unobserved components models: a reduced form extended Hodrick-Prescott filter, and a standard semi-structural unobserved components model. To complement these models, a semi-structural vector autoregression model is proposed in which only supply shocks are identified. The accuracy of the output gap estimates is assessed based on their performance in predicting recessions. The models with financial variables generally produce more accurate output gap estimates at the expense of increased real-time volatility. While the extended Hodrick-Prescott filter is particularly appealing for its real-time stability, it lags behind the two semi-structural models in terms of forecasting performance. The vector autoregression model augmented with financial variables features the best in-sample forecasting performance, and it has similar real-time prediction capabilities to the semi-structural unobserved components model. Overall, financial cycles appear to be relevant in Japan, Spain, the UK, and - to a lesser extent - in the US and in France, while they are relatively muted in Canada, Germany, and Italy.

ISBN
978-92-76-25082-1
Sprache
Englisch

Erschienen in
Series: JRC Working Papers in Economics and Finance ; No. 2020/11

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Business Fluctuations; Cycles
Financial Markets and the Macroeconomy
Financial Crises
Macroeconomic Analyses of Economic Development
Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
Thema
unobserved components model
semi-structural VAR
output gap
financial cycle
sustainable growth
credit
house prices
advanced economies

Ereignis
Geistige Schöpfung
(wer)
Kátay, Gábor
Kerdelhué, Lisa
Lequien, Matthieu
Ereignis
Veröffentlichung
(wer)
Publications Office of the European Union
(wo)
Luxembourg
(wann)
2020

DOI
doi:10.2760/033254
Handle
Letzte Aktualisierung
10.03.2025, 11:41 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

  • Kátay, Gábor
  • Kerdelhué, Lisa
  • Lequien, Matthieu
  • Publications Office of the European Union

Entstanden

  • 2020

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