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Is macroeconomic research robust to alternative data sets?

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  • Dean Croushore
  • Tom Stark

Abstract

This paper uses a real-time data set to analyze data revisions and to test the robustness of published econometric results. The data set consists of vintages, or snapshots, of the major macroeconomic data available at quarterly intervals in real time. The paper illustrates why such data may matter, examines the properties of several of the variables in the data set across vintages, and examines key empirical papers in macroeconomics, investigating their robustness to different vintages.

Suggested Citation

  • Dean Croushore & Tom Stark, 2002. "Is macroeconomic research robust to alternative data sets?," Working Papers 02-3, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:02-3
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    References listed on IDEAS

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    Cited by:

    1. Hillinger Claude, 2003. "The Money Metric, Price and Quantity Aggregation and Welfare Measurement," The B.E. Journal of Macroeconomics, De Gruyter, vol. 3(1), pages 1-36, July.
    2. Fuhrer, Jeff & Tootell, Geoff, 2008. "Eyes on the prize: How did the fed respond to the stock market?," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 796-805, May.
    3. Andrew C. Chang & Phillip Li, 2018. "Measurement Error In Macroeconomic Data And Economics Research: Data Revisions, Gross Domestic Product, And Gross Domestic Income," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1846-1869, July.
    4. Döhrn, Roland, 2018. "Revisionen der Volkswirtschaftlichen Gesamtrechnungen: Revisionspraxis des Statistischen Bundesamtes und ihre Auswirkungen auf Prognosen," RWI Materialien 127, RWI - Leibniz-Institut für Wirtschaftsforschung.
    5. Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," MPRA Paper 39452, University Library of Munich, Germany.
    6. Anthony M. Santomero, 2005. "Making monetary policy: what do we know and when do we know it?," Business Review, Federal Reserve Bank of Philadelphia, issue Q4, pages 1-8.
    7. Roland Döhrn, 2019. "Revisionen der Volkswirtschaftlichen Gesamtrechnungen und ihre Auswirkungen auf Prognosen [Revisions of national accounts data and their impact on forecasts]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 13(2), pages 99-123, September.
    8. Gloria Lucía Bernal Nisperuza & Johanna Táutiva Pradere, 2011. "Datos en tiempo real:una aplicación a la regla de taylor en Colombia," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 13(24), pages 373-394, January-J.
    9. Gerberding, Christina & Worms, Andreas & Seitz, Franz, 2004. "How the Bundesbank really conducted monetary policy: An analysis based on real-time data," Discussion Paper Series 1: Economic Studies 2004,25, Deutsche Bundesbank.

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