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Frontiers of Real-Time Data Analysis

Listed author(s):
  • Dean Croushore

In the past ten years, researchers have explored the impact of data revisions in many different contexts. Researchers have examined the properties of data revisions, how structural modeling is affected by data revisions, how data revisions affect forecasting, the impact of data revisions on monetary policy analysis, and the use of real-time data in current analysis. This paper summarizes many of the questions for which real-time data analysis has provided answers. In addition, researchers and institutions have developed better real-time data sets around the world. Still, additional research is needed in key areas and research to date has uncovered even more fruitful areas worth exploring. ( JEL C52, C53, C80, E01)

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File URL: http://www.aeaweb.org/articles.php?doi=10.1257/jel.49.1.72
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Article provided by American Economic Association in its journal Journal of Economic Literature.

Volume (Year): 49 (2011)
Issue (Month): 1 (March)
Pages: 72-100

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Handle: RePEc:aea:jeclit:v:49:y:2011:i:1:p:72-100
Note: DOI: 10.1257/jel.49.1.72
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  1. Jon Faust & John H. Rogers & Jonathan H. Wright, 2001. "Exchange rate forecasting: the errors we've really made," International Finance Discussion Papers 714, Board of Governors of the Federal Reserve System (U.S.).
  2. Norman R. Swanson & Halbert White, 1997. "A Model Selection Approach To Real-Time Macroeconomic Forecasting Using Linear Models And Artificial Neural Networks," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 540-550, November.
  3. John F. Boschen & Herschel I. Grossman, 1981. "Tests of Equilibrium Macroeconomics Using Contemporaneous Monetary Data," NBER Working Papers 0558, National Bureau of Economic Research, Inc.
  4. Mork, Knut Anton, 1987. "Ain't Behavin': Forecast Errors and Measurement Errors in Early GNP Estimates," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 165-175, April.
  5. Richard Harrison & George Kapetanios & Tony Yates, 2004. "Forecasting with measurement errors in dynamic models," Bank of England working papers 237, Bank of England.
  6. Glenn D. Rudebusch, 1999. "Is the Fed too timid? Monetary policy in an uncertain world," Working Papers in Applied Economic Theory 99-05, Federal Reserve Bank of San Francisco.
  7. Gerdesmeier, Dieter & Roffia, Barbara, 2004. "The relevance of real-time data in estimating reaction functions for the Euro area," Frankfurt School - Working Paper Series 56, Frankfurt School of Finance and Management.
  8. Norman R. Swanson & Jeffery D. Amato, 2000. "The real-time predictive content of money for output," BIS Working Papers 96, Bank for International Settlements.
  9. Athanasios Orphanides & John C. Williams, 2002. "Robust monetary policy rules with unknown natural rates," Working Paper Series 2003-01, Federal Reserve Bank of San Francisco.
  10. Glenn D. Rudebusch, 1996. "Do measures of monetary policy in a VAR make sense?," Working Papers in Applied Economic Theory 96-05, Federal Reserve Bank of San Francisco.
  11. Marcelle Chauvet & Jeremy M. Piger, 2002. "Identifying business cycle turning points in real time," FRB Atlanta Working Paper 2002-27, Federal Reserve Bank of Atlanta.
  12. Tom Stark & Dean Croushore, 2001. "Forecasting with a real-time data set for macroeconomists," Working Papers 01-10, Federal Reserve Bank of Philadelphia.
  13. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
  14. Cukierman, Alex & Lippi, Francesco, 2003. "Endogenous Monetary Policy with Unobserved Potential Output," CEPR Discussion Papers 3763, C.E.P.R. Discussion Papers.
  15. Thomas J. Jordan & Peter Kugler & Carlos Lenz & Marcel R. Savioz, 2005. "GDP Data Revisions and Forward-Looking Monetary Policy in Switzerland," Working papers 2005/05, Faculty of Business and Economics - University of Basel.
  16. Anthony Garratt & Shaun P Vahey, 2005. "UK Real-Time Macro Data Characteristics," Birkbeck Working Papers in Economics and Finance 0502, Birkbeck, Department of Economics, Mathematics & Statistics.
  17. Dean Croushore & Charles L. Evans, 2003. "Data revisions and the identification of monetary policy shocks," Working Papers 03-1, Federal Reserve Bank of Philadelphia.
  18. Christoffersen, Peter & Ghysels, Eric & Swanson, Norman R., 2002. "Let's get "real" about using economic data," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 343-360, August.
  19. Aruoba, Boragan, 2005. "Data Revisions Are Not Well-Behaved," CEPR Discussion Papers 5271, C.E.P.R. Discussion Papers.
  20. Dean Croushore, 2008. "Revisions to PCE inflation measures: implications for monetary policy," Working Papers 08-8, Federal Reserve Bank of Philadelphia.
  21. Bernhardsen, Tom & Eitrheim, Øyvind & Jore, Anne Sofie & Røisland, Øistein, 2004. "Real-time Data for Norway: Challenges for Monetary Policy," Discussion Paper Series 1: Economic Studies 2004,26, Deutsche Bundesbank, Research Centre.
  22. Aoki, Kosuke, 2003. "On the optimal monetary policy response to noisy indicators," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 501-523, April.
  23. Evan F. Koenig & Sheila Dolmas & Jeremy M. Piger, 2000. "The use and abuse of "real-time" data in economic forecasting," International Finance Discussion Papers 684, Board of Governors of the Federal Reserve System (U.S.).
  24. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
  25. Cayen, Jean-Philippe & van Norden, Simon, 2004. "The reliability of Canadian output gap estimates," Discussion Paper Series 1: Economic Studies 2004,29, Deutsche Bundesbank, Research Centre.
  26. James E. Kennedy, 1990. "An analysis of revisions to the industrial production index," Working Paper Series / Economic Activity Section 109, Board of Governors of the Federal Reserve System (U.S.).
  27. Coenen, Günter & Levin, Andrew & Wieland, Volker, 2003. "Data Uncertainty and the Role of Money as an Information Variable for Monetary Policy," CEPR Discussion Papers 3812, C.E.P.R. Discussion Papers.
  28. Valentina Corradi & Andres Fernandez & Norman R. Swanson, 2008. "Information in the revision process of real-time datasets," Working Papers 08-27, Federal Reserve Bank of Philadelphia.
  29. Mark W. Watson, 2007. "How accurate are real-time estimates of output trends and gaps?," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 143-161.
  30. Anthony Garratt & Gary Koop & Emi Mise & Shaun Vahey, 2008. "Real-time Prediction with UK Monetary Aggregates in the Presence of Model Uncertainty," Reserve Bank of New Zealand Discussion Paper Series DP2008/13, Reserve Bank of New Zealand.
  31. Athanasios Orphanides & Simon van Norden, 2001. "The Unreliability of Output Gap Estimates in Real Time," CIRANO Working Papers 2001s-57, CIRANO.
  32. Croushore, Dean, 2004. "Do Consumer Confidence Indexes Help Forecast Consumer Spending in Real Time?," Discussion Paper Series 1: Economic Studies 2004,27, Deutsche Bundesbank, Research Centre.
  33. Nelson, Edward & Nikolov, Kalin, 2003. "UK inflation in the 1970s and 1980s: the role of output gap mismeasurement," Journal of Economics and Business, Elsevier, vol. 55(4), pages 353-370.
  34. Oh, S. & Waldman, M., 1990. "The Macroeconomic Effects Of False Announcements," Papers 17, California Los Angeles - Applied Econometrics.
  35. Rossi, Barbara & Inoue, Atsushi, 2003. "Recursive Predictability Tests for Real-Time Data," Working Papers 03-24, Duke University, Department of Economics.
  36. Todd E. Clark & Sharon Kozicki, 2004. "Estimating equilibrium real interest rates in real time," Research Working Paper RWP 04-08, Federal Reserve Bank of Kansas City.
  37. N. Kundan Kishor & Evan F. Koenig, 2009. "VAR Estimation and Forecasting When Data Are Subject to Revision," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 181-190, July.
  38. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
  39. Todd E. Clark & Michael W. McCracken, 2008. "Tests of equal predictive ability with real-time data," Working Papers 2008-029, Federal Reserve Bank of St. Louis.
  40. 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.
  41. Marcelle Chauvet & James D. Hamilton, 2005. "Dating Business Cycle Turning Points," NBER Working Papers 11422, National Bureau of Economic Research, Inc.
  42. Croushore, Dean, 2006. "Forecasting with Real-Time Macroeconomic Data," Handbook of Economic Forecasting, Elsevier.
  43. Rosanne Cole, 1969. "Data Errors and Forecasting Accuracy," NBER Chapters, in: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance, pages 47-82 National Bureau of Economic Research, Inc.
  44. Athanasios Orphanides, 1998. "Monetary policy evaluation with noisy information," Finance and Economics Discussion Series 1998-50, Board of Governors of the Federal Reserve System (U.S.).
  45. 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.
  46. 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.
  47. Edge, Rochelle M. & Laubach, Thomas & Williams, John C., 2007. "Learning and shifts in long-run productivity growth," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2421-2438, November.
  48. Chauvet, Marcelle & Piger, Jeremy, 2008. "A Comparison of the Real-Time Performance of Business Cycle Dating Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 42-49, January.
  49. Kenneth A. Kavajecz, 1994. "The evolution of the Federal Reserve's monetary aggregates: a timeline," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 32-66.
  50. Dean Croushore & Tom Stark, 1999. "A real-time data set for marcoeconomists: does the data vintage matter?," Working Papers 99-21, Federal Reserve Bank of Philadelphia.
  51. 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 403-419, June.
  52. Koenig, Evan F., 2003. "Is the markup a useful real-time predictor of inflation?," Economics Letters, Elsevier, vol. 80(2), pages 261-267, August.
  53. Sargent, Thomas J, 1989. "Two Models of Measurements and the Investment Accelerator," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 251-287, April.
  54. Patterson, Kerry D & Heravi, Saeed M, 1991. "Data Revisions and the Expenditure Components of GDP," Economic Journal, Royal Economic Society, vol. 101(407), pages 887-901, July.
  55. Christina Gerberding & Franz Seitz & Andreas Worms, 2005. "How the Bundesbank really conducted monetary policy," Computing in Economics and Finance 2005 60, Society for Computational Economics.
  56. 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.
  57. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.
  58. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
  59. Kavajecz, Kenneth & Collins, Sean, 1995. "Rationality of Preliminary Money Stock Estimates," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 32-41, February.
  60. John C. Robertson & Ellis W. Tallman, 1998. "Data vintages and measuring forecast model performance," Economic Review, Federal Reserve Bank of Atlanta, issue Q 4, pages 4-20.
  61. Patterson, K D, 1995. "An Integrated Model of the Data Measurement and Data Generation Processes with an Application to Consumers' Expenditure," Economic Journal, Royal Economic Society, vol. 105(428), pages 54-76, January.
  62. Victor Zarnowitz, 1980. "On Functions, Quality, and Timeliness of Economic Information," NBER Working Papers 0608, National Bureau of Economic Research, Inc.
  63. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense? A Reply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 943-948, November.
  64. 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.
  65. Douglas Staiger & James H. Stock & Mark W. Watson, 1997. "The NAIRU, Unemployment and Monetary Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 33-49, Winter.
  66. Trivellato, Ugo & Rettore, Enrico, 1986. "Preliminary Data Errors and Their Impact on the Forecast Error of Simultaneous-Equations Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(4), pages 445-453, October.
  67. S. Boragan Aruoba, 2004. "Data Uncertainty in General Equilibrium," Computing in Economics and Finance 2004 131, Society for Computational Economics.
  68. Frank Smets, 2002. "Output gap uncertainty: Does it matter for the Taylor rule?," Empirical Economics, Springer, vol. 27(1), pages 113-129.
  69. Howrey, E Philip, 1984. "Data Revision, Reconstruction, and Prediction: An Application to Inventory Investment," The Review of Economics and Statistics, MIT Press, vol. 66(3), pages 386-393, August.
  70. Kamada, Koichiro, 2004. "Real-Time Estimation of the Output Gap in Japan and its Usefulness for Inflation Forecasting and Policymaking," Discussion Paper Series 1: Economic Studies 2004,14, Deutsche Bundesbank, Research Centre.
  71. Karen E. Dynan & Douglas W. 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.).
  72. Howrey, E Philip, 1978. "The Use of Preliminary Data in Econometric Forecasting," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 193-200, May.
  73. Kenneth A. Kavajecz, 1994. "The evolution of the Federal Reserve's monetary aggregates: a timeline," Proceedings, Federal Reserve Bank of St. Louis, issue Mar, pages 32-66.
  74. Dean Croushore & Tom Stark, 1999. "A real-time data set for macroeconomists," Working Papers 99-4, Federal Reserve Bank of Philadelphia.
  75. Sharon Kozicki, 2004. "How do data revisions affect the evaluation and conduct of monetary policy?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 5-38.
  76. Molodtsova, Tanya & Nikolsko-Rzhevskyy, Alex & Papell, David H., 2008. "Taylor rules with real-time data: A tale of two countries and one exchange rate," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 63-79, October.
  77. Bomfim, Antulio N., 2001. "Measurement error in general equilibrium: the aggregate effects of noisy economic indicators," Journal of Monetary Economics, Elsevier, vol. 48(3), pages 585-603, December.
  78. William Conrad & Carol Corrado, 1978. "Applications of the Kalman filter to revisions in monthly retail sales estimates," Special Studies Papers 125, Board of Governors of the Federal Reserve System (U.S.).
  79. Maravall, Agustin & Pierce, David A, 1986. "The Transmission of Data Noise into Policy Noise in U.S. Monetary Control," Econometrica, Econometric Society, vol. 54(4), pages 961-979, July.
  80. Guerrero, Victor M., 1993. "Combining historical and preliminary information to obtain timely time series data," International Journal of Forecasting, Elsevier, vol. 9(4), pages 477-485, December.
  81. Patterson, K. D., 2003. "Exploiting information in vintages of time-series data," International Journal of Forecasting, Elsevier, vol. 19(2), pages 177-197.
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