How Accurate Are The Swedish Forecasters On Gdp-Growth,Cpi- Inflation And Unemployment? (1993-2001)
AbstractThis study evaluates the performance of the eight most important Swedish domestic forecasters of real GDP-growth, CPI-inflation and unemployment for the sample period 1993-2001. The evaluation is based on the following measures: mean absolute error, the root mean square error, bias and finally directional accuracy. The forecasts are even compared to naive random walk and random walk with drift models. The results indicate that the current forecasts compared to the year ahead forecasts decline over the forecasting horizons as more information becomes available. The results with respect to the directional accuracy indicate that we are equally good/bad in predicting the directional accuracy for all three macro aggregates. According to the comparisons with the naive random walk model six out of seven Swedish CPI-inflation forecasters were outperformed by the naive random walk model. Tests of bias indicate that the Swedish forecasters underestimate GDP-growth and overestimate CPI-inflation and the unemployment rate for the sample period. All the Swedish forecasters have been successful in predicting the downward trend in CPI-inflation and the unemployment rate. The performance of the Swedish domestic forecasters is better using preliminary GDP-growth outcomes than final. The performance for the current year forecasts is better than the year ahead forecasts for all three macro economic variables. Revisions are positively biased. Key words Mean absolute error, root mean square error, directional accuracy, bias, revisions, final respective preliminary outcomes, Theil index, naïve forecasts
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 EconWPA in its series Macroeconomics with number 0510017.
Length: 25 pages
Date of creation: 19 Oct 2005
Date of revision:
Note: Type of Document - pdf; pages: 25. FORECASTING ACCURACY, MEAN ABSOLUTE ERROR, ROOT MEAN SQUARE ERROR, DIRECTIONAL ACCURACY, BIAS, REVISIONS, FINAL RESPECTIVE PRELIMINARY OUTCOMES, THEIL INDEX, NAIVE FORECASTS
Contact details of provider:
Web page: http://220.127.116.11
MEAN ABSOLUTE ERROR; ROOT MEAN SQUARE ERROR; DIRECTIONAL ACCURACY; BIAS; REVISIONS; FINAL RESPECTIVE PRELIMINARY OUTCOMES;
Other versions of this item:
- Bharat Barot, 2004. "How accurate are the Swedish forecasters on GDB-Growth, CPI-inflation and unemployment? (1993 - 2001)," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 47(2), pages 249-278.
- E - Macroeconomics and Monetary Economics
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-10-22 (All new papers)
- NEP-ECM-2005-10-22 (Econometrics)
- NEP-FOR-2005-10-22 (Forecasting)
- NEP-MAC-2005-10-22 (Macroeconomics)
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.:
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997.
"Evaluating density forecasts,"
97-6, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating Density Forecasts," Center for Financial Institutions Working Papers 97-37, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating Density Forecasts," NBER Technical Working Papers 0215, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, . "Evaluating Density Forecasts," CARESS Working Papres 97-18, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
- Christina D. Romer & David H. Romer, 1996. "Federal Reserve Private Information and the Behavior of Interest Rates," NBER Working Papers 5692, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Anthony S. Tay & Kenneth F. Wallis, 1998.
"Evaluating Density Forecasts of Inflation: The Survey of Professional Forecasters,"
98-15, New York University, Leonard N. Stern School of Business, Department of Economics.
- Francis X. Diebold & Anthony S. Tay & Kenneth F. Wallis, 1997. "Evaluating Density Forecasts of Inflation: The Survey of Professional Forecasters," NBER Working Papers 6228, National Bureau of Economic Research, Inc.
- Clements, Michael P. & Hendry, David F., 1997. "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, Elsevier, vol. 13(3), pages 341-355, September.
- Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA).
If references are entirely missing, you can add them using this form.