Arbeitspapier

Inflation dynamics during the financial crisis in Europe: Cross-sectional identification of long-run inflation expectations

We investigate drivers of Euro area inflation dynamics using a panel of regional Phillips curves and identify long-run inflation expectations by exploiting the crosssectional dimension of the data. Our approach simultaneously allows for the inclusion of country-specific inflation and unemployment-gaps, as well as time-varying parameters. Our preferred panel specification outperforms various aggregate, uni- and multivariate unobserved component models in terms of forecast accuracy. We find that declining long-run trend inflation expectations and rising inflation persistence indicate an altered risk of inflation expectations de-anchoring. Lower trend inflation, and persistently negative unemployment-gaps, a slightly increasing Phillips curve slope and the downward pressure of low oil prices mainly explain the low inflation rate during the recent years.

Sprache
Englisch

Erschienen in
Series: IWH Discussion Papers ; No. 10/2017

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Price Level; Inflation; Deflation
Thema
inflation dynamics
inflation expectations
trend inflation
nonlinear state space model
panel UCSV model
Euro area

Ereignis
Geistige Schöpfung
(wer)
Dany-Knedlik, Geraldine
Holtemöller, Oliver
Ereignis
Veröffentlichung
(wer)
Leibniz-Institut für Wirtschaftsforschung Halle (IWH)
(wo)
Halle (Saale)
(wann)
2017

Handle
URN
urn:nbn:de:gbv:3:2-82318
Letzte Aktualisierung
08.06.2024, 00:43 MESZ

Datenpartner

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

Objekttyp

  • Arbeitspapier

Beteiligte

  • Dany-Knedlik, Geraldine
  • Holtemöller, Oliver
  • Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

Entstanden

  • 2017

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