Inflation forecasting and the crisis: assessing the impact on the performance of different forecasting models and methods
AbstractThis paper analyses how euro area inflation forecasts have been affected by the financial and economic crisis. Its first objective is to evaluate the accuracy of three representative groups of inflation forecasting models (rules of thumb and benchmark models; autoregressive moving average models; autoregressive distributed lag models) under a direct and an indirect approach, respectively. The second objective of the paper is to study how the absolute and relative forecasting performances of the models and approaches have been impacted by the economic and financial crisis. The paper finds that direct forecasting models selected on the basis of a penalty function generally dominate simple benchmark models. The analysis furthermore suggests that when an appropriate specification for the component-specific models is found, indirect forecasts outperform the corresponding direct forecasts. Nonetheless, in line with the findings from earlier studies, there are insufficient elements to assert a systematic superiority of one of the two approaches. Concerning the second objective, the across-the-board rise in the forecast errors of all models considered, confirms that inflation forecasting has become substantially more difficult after the onset of the crisis. However, the deterioration of the different models has been uneven: indeed, direct autoregressive distributed lag models and indirect models improved in relative terms during the crisis.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Directorate General Economic and Monetary Affairs (DG ECFIN), European Commission in its series European Economy - Economic Papers with number 451.
Length: 37 pages
Date of creation: Mar 2012
Date of revision:
Contact details of provider:
Postal: Coomunivcations Unit, B-1049 Bruxelles / Brussels
Fax: +32 2 298.08.23
Web page: http://ec.europa.eu/economy_finance/index_en.htm
More information through EDIRC
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-10 (All new papers)
- NEP-CBA-2012-04-10 (Central Banking)
- NEP-FOR-2012-04-10 (Forecasting)
- NEP-MAC-2012-04-10 (Macroeconomics)
- NEP-MON-2012-04-10 (Monetary Economics)
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ECFIN INFO).
If references are entirely missing, you can add them using this form.