Forecasting measures of inflation for the Estonian economy
AbstractThe aim of this paper is to forecast some of the most important measures of inflation of the Estonian economy by making use of linear and non-linear models. Results from comparing classes of optimal models are similar to those in the forecasting literature. In particular, there are gains from using more sophisticated methods such as factor analysis and time-varying parameters methods. Model discrimination is based on evaluation criteria which are computed by a real-time dynamic estimation procedure. Moreover, forecasts uncertainty is appropriately taken into account: Fan Charts can exhaustively describe the final output for what concerns out-of-sample forecasting.
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 Bank of Estonia in its series Bank of Estonia Working Papers with number 2006-03.
Length: 41 pages
Date of creation: 10 Oct 2006
Date of revision: 12 Nov 2006
Publication status: published
Postal: Estonia bld. 13, 15095 Tallinn, ESTONIA
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-11-04 (All new papers)
- NEP-CBA-2006-11-04 (Central Banking)
- NEP-ECM-2006-11-04 (Econometrics)
- NEP-FOR-2006-11-04 (Forecasting)
- NEP-MAC-2006-11-04 (Macroeconomics)
- NEP-MON-2006-11-04 (Monetary Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Robert J. Gordon, 1997.
"The Time-Varying NAIRU and Its Implications for Economic Policy,"
Journal of Economic Perspectives,
American Economic Association, vol. 11(1), pages 11-32, Winter.
- Robert J. Gordon, 1997. "The Time-Varying NAIRU and its Implications for Economic Policy," NBER Working Papers 5735, National Bureau of Economic Research, Inc.
- Gordon, Robert J, 1996. "The Time-varying NAIRU and its Implications for Economic Policy," CEPR Discussion Papers 1492, C.E.P.R. Discussion Papers.
- Massimiliano Marcellino & Carlo A. Favero & Francesca Neglia, 2005.
"Principal components at work: the empirical analysis of monetary policy with large data sets,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 20(5), pages 603-620.
- Carlo Ambrogio Favero & Massimilano Marcellino & Francesca Neglia, . "Principal components at work: The empirical analysis of monetary policy with large datasets," Working Papers 223, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Massimiliano Marcellino, .
"Instability and non-linearity in the EMU,"
211, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- James H. Stock & Mark W. Watson, 1994.
"Evidence on Structural Instability in Macroeconomic Time Series Relations,"
NBER Technical Working Papers
0164, National Bureau of Economic Research, Inc.
- Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
- James H. Stock & Mark W. Watson, 1994. "Evidence on structural instability in macroeconomic times series relations," Working Paper Series, Macroeconomic Issues 94-13, Federal Reserve Bank of Chicago.
- Kazimi, Camilla & Brownstone, David, 1999. "Bootstrap confidence bands for shrinkage estimators," Journal of Econometrics, Elsevier, vol. 90(1), pages 99-127, May.
- Jonas D. M. Fisher & Chin Te Liu & Ruilin Zhou, 2002. "When can we forecast inflation?," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I, pages 32-44.
- Kevin J. Lansing, 2002. "Can the Phillips curve help forecast inflation?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue oct4.
- Andrew Atkeson & Lee E. Ohanian., 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-11.
- Stephen G. Cecchetti & Rita S. Chu & Charles Steindel, 2000. "The unreliability of inflation indicators," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 6(Apr).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peeter Luikmel).
If references are entirely missing, you can add them using this form.