Predicting the direction of change in aggregate demand growth and its components
In this study, we set up a framework to generate the forecasts of growth in aggregate demand and its components using real-time data. In general, these forecasts (for 1983-2008) accurately predict directional change under symmetric loss and are thus of value to a user who assigns similar cost (loss) to incorrect upward and downward predictions. Our model is simple yet useful, especially to economically-rational agents who tend to balance the predictive benefit of a forecast against the cost of gathering and processing information. We conclude by suggesting that the success of our model may have to do with the stationary behavior of the series as well as monetary policy that aims to achieve sustainable growth with stable prices.
Volume (Year): 30 (2010)
Issue (Month): 1 ()
|Contact details of provider:|| |
References listed on IDEAS
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.:
- Joutz, Fred & Stekler, H. O., 2000. "An evaluation of the predictions of the Federal Reserve," International Journal of Forecasting, Elsevier, vol. 16(1), pages 17-38.
- Leitch, Gordon & Tanner, J Ernest, 1991. "Economic Forecast Evaluation: Profits versus the Conventional Error Measures," American Economic Review, American Economic Association, vol. 81(3), pages 580-590, June.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
- Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1998. "Are OECD forecasts rational and useful?: a directional analysis," International Journal of Forecasting, Elsevier, vol. 14(3), pages 381-391, September.
- Pesaran, M. Hashem & Timmermann, Allan, 2004.
"How costly is it to ignore breaks when forecasting the direction of a time series?,"
International Journal of Forecasting,
Elsevier, vol. 20(3), pages 411-425.
- Pesaran, H.M. & Timmermann, A., 2003. "How Costly is it to Ignore Breaks when Forecasting the Direction of a Time Series?," Cambridge Working Papers in Economics 0306, Faculty of Economics, University of Cambridge.
- Allan Timmermann & M. Hashem Pesaran, 2003. "How Costly is it to Ignore Breaks when Forecasting the Direction of a Time Series?," CESifo Working Paper Series 875, CESifo Group Munich.
- Baghestani, Hamid & Kherfi, Samer, 2008. "How well do U.S. consumers predict the direction of change in interest rates?," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 725-732, November.
- Greer, Mark, 2003. "Directional accuracy tests of long-term interest rate forecasts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 291-298.
When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-09-00760. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (John P. Conley)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.