Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data
The paper evaluates the quality of the German national accounting data (GDP and its useside components) as measured by the magnitude and dispersion of the forecast / revision errors. It is demonstrated that government consumption series are the least reliable, whereas real GDP and real private consumption data are the most reliable. In addition, early forecasts of GDP, private consumption, and investment growth rates are shown to be systematically upward biased. Finally, early forecasts of all the variables seem to be no more accurate than naïve forecasts based on the historical mean of the final data.
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Volume (Year): 55 (2009)
Issue (Month): 4 ()
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- Lahiri, Kajal & Sheng, Xuguang, 2009.
"Learning and heterogeneity in GDP and inflation forecasts,"
21448, University Library of Munich, Germany.
- Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
- Kajal Lahiri & Xuguang Sheng, 2009. "Learning and Heterogeneity in GDP and Inflation Forecasts," Discussion Papers 09-05, University at Albany, SUNY, Department of Economics.
- Faust, Jon & Rogers, John H & Wright, Jonathan H, 2005.
"News and Noise in G-7 GDP Announcements,"
Journal of Money, Credit and Banking,
Blackwell Publishing, vol. 37(3), pages 403-19, June.
- Francis X. Diebold & Lutz Kilian, 1998.
"Measuring Predictability: Theory and Macroeconomic Applications,"
98-16, New York University, Leonard N. Stern School of Business, Department of Economics.
- Francis X. Diebold & Lutz Kilian, 2001. "Measuring predictability: theory and macroeconomic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 657-669.
- Francis X. Diebold & Lutz Kilian, 1997. "Measuring Predictability: Theory and Macroeconomic Applications," NBER Technical Working Papers 0213, National Bureau of Economic Research, Inc.
- Diebold, Francis X & Kilian, Lutz, 2000. "Measuring Predictability: Theory And Macroeconomic Applications," CEPR Discussion Papers 2424, C.E.P.R. Discussion Papers.
- Francis X. Diebold & Lutz Kilian, 1997. "Measuring predictability: theory and macroeconomic applications," Working Papers 97-23, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Lutz Kilian, . "Measuring Predictability: Theory and Macroeconomic Applications," CARESS Working Papres 97-19, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
- de Gooijer, Jan G. & Klein, Andre, 1992. "On the cumulated multi-step-ahead predictions of vector autoregressive moving average processes," International Journal of Forecasting, Elsevier, vol. 7(4), pages 501-513, March.
- Jan Jacobs & Jan-Egbert Sturm, 2004. "Do Ifo Indicators Help Explain Revisions in German Industrial Production?," CESifo Working Paper Series 1205, CESifo Group Munich.
- N. Gregory Mankiw & Matthew D. Shapiro, 1986. "News or Noise? An Analysis of GNP Revisions," NBER Working Papers 1939, National Bureau of Economic Research, Inc.
- Batchelor, Roy, 2007. "Bias in macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(2), pages 189-203.
- Graham Elliott & Allan Timmermann & Ivana Komunjer, 2005. "Estimation and Testing of Forecast Rationality under Flexible Loss," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1107-1125.
- McNees, Stephen K., 1989. "Forecasts and actuals: The trade-off between timeliness and accuracy," International Journal of Forecasting, Elsevier, vol. 5(3), pages 409-416.
- Knetsch, Thomas A. & Reimers, Hans-Eggert, 2006. "How to treat benchmark revisions? The case of German production and orders statistics," Discussion Paper Series 1: Economic Studies 2006,38, Deutsche Bundesbank, Research Centre.
- Kajal Lahiri & Gultekin Isiklar, 2006.
"How Far Ahead Can We Forecast? Evidence From Cross-country Surveys,"
06-04, University at Albany, SUNY, Department of Economics.
- Isiklar, Gultekin & Lahiri, Kajal, 2007. "How far ahead can we forecast? Evidence from cross-country surveys," International Journal of Forecasting, Elsevier, vol. 23(2), pages 167-187.
- Prakash Loungani, 2000.
"How Accurate Are Private Sector Forecasts; Cross-Country Evidence From Consensus Forecasts of Output Growth,"
IMF Working Papers
00/77, International Monetary Fund.
- Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
- Ashiya, Masahiro, 2007. "Forecast accuracy of the Japanese government: Its year-ahead GDP forecast is too optimistic," Japan and the World Economy, Elsevier, vol. 19(1), pages 68-85, January.
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