Differences in Early GDP Component Estimates Between Recession and Expansion
AbstractIn this paper we examine the quality of the initial estimates of the components of both real and nominal U.S. GDP. We introduce a number of new statistics for measuring the magnitude of changes in the components from the initial estimates available one month after the end of the quarter to the estimates available 3 months after the end of the quarter. We further specifically investigate the potential role of changes in the state of the economy for these changes. Our analysis shows that the early data generally reflected the composition of the changes in GDP that was observed in the later data. Thus, under most circumstances, an analyst could use the early data to obtain a realistic picture of what had happened in the economy in the previous quarter. However, the differences in the composition of the vectors of the two vintages were larger during recessions than in expansions. Unfortunately, it is in those periods when accurate information is most vital for 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 The George Washington University, Institute for International Economic Policy in its series Working Papers with number 2011-05.
Length: 28 pages
Date of creation: Feb 2011
Date of revision:
Flash Estimates; Data Revisions; GDP Components; Statistical Tests; Business Cycles;
Find related papers by JEL classification:
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-10-09 (All new papers)
- NEP-CBA-2011-10-09 (Central Banking)
- NEP-FOR-2011-10-09 (Forecasting)
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.:
- Òscar Jordà & Malte Knüppel & Massimiliano Marcellino, 2010.
"Empirical Simultaneous Confidence Regions for Path-Forecasts,"
Economics Working Papers
ECO2010/18, European University Institute.
- Jordà, Òscar & Knüppel, Malte & Marcellino, Massimiliano, 2010. "Empirical Simultaneous Confidence Regions for Path-Forecasts," CEPR Discussion Papers 7797, C.E.P.R. Discussion Papers.
- Jordà, Òscar & Knüppel, Malte & Marcellino, Massimiliano, 2010. "Empirical simultaneous confidence regions for path-forecasts," Discussion Paper Series 1: Economic Studies 2010,06, Deutsche Bundesbank, Research Centre.
- S. Boragan Aruoba, 2008.
"Data Revisions Are Not Well Behaved,"
Journal of Money, Credit and Banking,
Blackwell Publishing, vol. 40(2-3), pages 319-340, 03.
- Jacob A. Mincer & Victor Zarnowitz, 1969. "The Evaluation of Economic Forecasts," NBER Chapters, in: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance, pages 1-46 National Bureau of Economic Research, Inc.
- Chanont Banternghansa & Michael W. McCracken, 2009. "Forecast disagreement among FOMC members," Working Papers 2009-059, Federal Reserve Bank of St. Louis.
- Tara Sinclair & Frederick L. Joutz, 2009.
"Can the Fed Predict the State of the Economy?,"
2008-06, The George Washington University, Institute for International Economic Policy.
- Neftci, Salih N. & Theodossiou, Panayiotis, 1991. "Properties and Stochastic nature of BEA's early estimates of GNP," Journal of Economics and Business, Elsevier, vol. 43(3), pages 231-239, August.
- Tom Stark and Dean Croushore, 2001.
"Forecasting with a Real-Time Data Set for Macroeconomists,"
Computing in Economics and Finance 2001
258, Society for Computational Economics.
- Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
- Tom Stark & Dean Croushore, 2001. "Forecasting with a real-time data set for macroeconomists," Working Papers 01-10, Federal Reserve Bank of Philadelphia.
- Swanson, Norman R. & van Dijk, Dick, 2006.
"Are Statistical Reporting Agencies Getting It Right? Data Rationality and Business Cycle Asymmetry,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 24, pages 24-42, January.
- Swanson, N.R. & van Dijk, D.J.C., 2001. "Are statistical reporting agencies getting it right? Data rationality and business cycle asymmetry," Econometric Institute Research Papers EI 2001-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- de Leeuw, Frank, 1990. "The Reliability of U.S. Gross National Product," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 191-203, April.
- Karen E. Dynan & Douglas Elmendorf, 2001. "Do provisional estimates of output miss economic turning points?," Finance and Economics Discussion Series 2001-52, Board of Governors of the Federal Reserve System (U.S.).
- Groen, Jan J.J. & Kapetanios, George & Price, Simon, 2009. "A real time evaluation of Bank of England forecasts of inflation and growth," International Journal of Forecasting, Elsevier, vol. 25(1), pages 74-80.
- Fackler, James S., 2002. "Comment on 'Forecasting with a real-time data set for macroeconomists'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 559-562, December.
- Elliott, Graham, 2002. "Comments on 'Forecasting with a real-time data set for macroeconomists'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 533-539, December.
- Stephen K. McNees, 1986. "Estimating GNP: the trade-off between timeliness and accuracy," New England Economic Review, Federal Reserve Bank of Boston, issue Jan, pages 3-10.
- 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.
- Kozicki, Sharon, 2002. "Comments on 'Forecasting with a real-time data set for macroeconomists'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 541-557, December.
- 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.
- Holden, K & Peel, D A, 1990. "On Testing for Unbiasedness and Efficiency of Forecasts," The Manchester School of Economic & Social Studies, University of Manchester, vol. 58(2), pages 120-27, June.
- Stark, Tom & Croushore, Dean, 2002. "Reply to the comments on 'Forecasting with a real-time data set for macroeconomists'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 563-567, December.
- Victor Zarnowitz, 1980. "On Functions, Quality, and Timeliness of Economic Information," NBER Working Papers 0608, National Bureau of Economic Research, Inc.
- Zarnowitz, Victor, 1982. "On Functions, Quality, and Timeliness of Economic Information," The Journal of Business, University of Chicago Press, vol. 55(1), pages 87-119, January.
- Oller, Lars-Erik & Teterukovsky, Alex, 2007. "Quantifying the quality of macroeconomic variables," International Journal of Forecasting, Elsevier, vol. 23(2), pages 205-217.
- Manik L. Shrestha & Marco Marini, 2013. "Quarterly GDP Revisions in G-20 Countries," IMF Working Papers 13/60, International Monetary Fund.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kyle Renner).
If references are entirely missing, you can add them using this form.