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A real-time historical database for the OECD

Author

Listed:
  • Adriana Fernandez
  • Evan F. Koenig
  • Alex Nikolsko-Rzhevskyy

Abstract

Ongoing economic globalization makes real-time international data increasingly relevant, though little work has been done on collecting and analyzing real-time data for economies other than the U.S. In this paper, we introduce and examine a new international real-time dataset assembled from original quarterly releases of 13 quarterly variables presented in the OECD Main Economic Indicators from 1962 to 1998 for 26 OECD countries. By merging this data with the current OECD real-time dataset, which starts in 1999, researchers get access to a standard, up-to-date resource. To illustrate the importance of using real-time data in macroeconomic analysis, we consider five economic applications analyzed from a real-time perspective.

Suggested Citation

  • Adriana Fernandez & Evan F. Koenig & Alex Nikolsko-Rzhevskyy, 2011. "A real-time historical database for the OECD," Globalization Institute Working Papers 96, Federal Reserve Bank of Dallas.
  • Handle: RePEc:fip:feddgw:96
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    References listed on IDEAS

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    1. Orphanides, Athanasios & van Norden, Simon, 2005. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 583-601, June.
    2. Evan F. Koenig & Sheila Dolmas & Jeremy Piger, 2003. "The Use and Abuse of Real-Time Data in Economic Forecasting," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 618-628, August.
    3. Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
    4. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    5. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    6. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    7. C John McDermott & Alasdair Scott, 1999. "Concordance in business cycles," Reserve Bank of New Zealand Discussion Paper Series G99/7, Reserve Bank of New Zealand.
    8. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    9. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2005. "How the Bundesbank really conducted monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 277-292, December.
    10. Jens Richard Clausen & Carsten-Patrick Meier, 2005. "Did the Bundesbank Follow a Taylor Rule? An Analysis Based on Real-Time Data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 141(II), pages 213-246, June.
    11. Tanya Molodtsova & Alex Nikolsko-Rzhevskyy & David H. Papell, 2011. "Taylor Rules and the Euro," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 535-552, March.
    12. 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.
    13. Egginton, Don M. & Pick, Andreas & Vahey, Shaun P., 2002. "'Keep it real!': a real-time UK macro data set," Economics Letters, Elsevier, vol. 77(1), pages 15-20, September.
    14. Croushore, Dean, 2006. "Forecasting with Real-Time Macroeconomic Data," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 17, pages 961-982, Elsevier.
    15. Fernández, Adriana Z. & Nikolsko-Rzhevskyy, Alex, 2010. "The changing nature of the U.S. economic influence in the World," Journal of Policy Modeling, Elsevier, vol. 32(2), pages 196-209, March.
    16. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
    17. Bernhardsen, Tom & Eitrheim, Oyvind & Jore, Anne Sofie & Roisland, Oistein, 2005. "Real-time data for Norway: Challenges for monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 333-349, December.
    18. 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.
    19. Dean Croushore, 2011. "Frontiers of Real-Time Data Analysis," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
    20. Don Harding & Adrian Pagan, 1999. "Knowing the Cycle," Melbourne Institute Working Paper Series wp1999n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    21. Papell, David H., 2006. "The Panel Purchasing Power Parity Puzzle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(2), pages 447-467, March.
    22. Peter K. Clark, 1987. "The Cyclical Component of U. S. Economic Activity," The Quarterly Journal of Economics, Oxford University Press, vol. 102(4), pages 797-814.
    23. Stephan Sauer & Jan-Egbert Sturm, 2003. "Using Taylor Rules to Understand ECB Monetary Policy," CESifo Working Paper Series 1110, CESifo.
    24. Koenig, Evan F., 2003. "Is the markup a useful real-time predictor of inflation?," Economics Letters, Elsevier, vol. 80(2), pages 261-267, August.
    25. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
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    Cited by:

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    2. Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
    3. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    4. Severin Bernhard, 2016. "A real-time GDP data set for Switzerland," Economic Studies 2016-09, Swiss National Bank.
    5. Steven P. Cassou & C. Patrick Scott & Jesús Vázquez, 2018. "Optimal monetary policy revisited: does considering US real-time data change things?," Applied Economics, Taylor & Francis Journals, vol. 50(57), pages 6203-6219, December.
    6. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
    7. Mark A. Wynne, 2012. "Five Years of Research on Globalization and Monetary Policy: What Have We Learned?," Annual Report, Globalization and Monetary Policy Institute, Federal Reserve Bank of Dallas, pages 2-17.
    8. Dovern, Jonas & Jannsen, Nils, 2017. "Systematic errors in growth expectations over the business cycle," International Journal of Forecasting, Elsevier, vol. 33(4), pages 760-769.
    9. Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
    10. Andreas Dibiasi & Samad Sarferaz, 2020. "Measuring Macroeconomic Uncertainty: The Labor Channel of Uncertainty from a Cross-Country Perspective," Papers 2006.09007, arXiv.org, revised Dec 2020.
    11. Ince, Onur & Molodtsova, Tanya & Papell, David H., 2016. "Taylor rule deviations and out-of-sample exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 22-44.
    12. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.

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