Arbeitspapier

Semi-structural models for inflation forecasting

We propose alternative single-equation semi-structural models for forecasting inflation in Canada, whereby structural New Keynesian models are combined with time-series features in the data. Several marginal cost measures are used, including one that in addition to unit labour cost also integrates relative price shocks known to play an important role in open-economies. Structural estimation and testing is conducted using identification-robust methods that are valid whatever the identification status of the econometric model. We find that our semi-structural models perform better than various strictly structural and conventional time series models. In the latter case, forecasting performance is significantly better, both in the short run and in the medium run.

Language
Englisch

Bibliographic citation
Series: Bank of Canada Working Paper ; No. 2010-34

Classification
Wirtschaft
Estimation: General
Forecasting Models; Simulation Methods
Price Level; Inflation; Deflation
Subject
Inflation and prices
Econometric and statistical methods
Inflationsrate
Prognose
Prognoseverfahren
Lohnstückkosten
Außenwirtschaft
Zeitreihenanalyse
Kanada

Event
Geistige Schöpfung
(who)
Kichian, Maral
Rumler, Fabio
Corrigan, Paul
Event
Veröffentlichung
(who)
Bank of Canada
(where)
Ottawa
(when)
2010

DOI
doi:10.34989/swp-2010-34
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
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

  • Kichian, Maral
  • Rumler, Fabio
  • Corrigan, Paul
  • Bank of Canada

Time of origin

  • 2010

Other Objects (12)