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The role of data & program code archives in the future of economic research

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  • Richard G. Anderson
  • William H. Greene
  • Bruce D. McCullough
  • Hrishikesh D. Vinod

Abstract

This essay examines the role of data and program-code archives in making economic research \"replicable.\" Replication of published results is recognized as an essential part of the scientific method. Yet, historically, both the \"demand for\" and \"supply of\" replicable results in economics has been minimal. \"Respect for the scientific method\" is not sufficient to motivate either economists or editors of professional journals to ensure the replicability of published results. We enumerate the costs and benefits of mandatory data and code archives, and argue that the benefits far exceed the costs. Progress has been made since the gloomy assessment of Dewald, Thursby and Anderson some twenty years ago in the American Economic Review, but much remains to be done before empirical economics ceases to be a \"dismal science\" when judged by the replicability of its published results.

Suggested Citation

  • Richard G. Anderson & William H. Greene & Bruce D. McCullough & Hrishikesh D. Vinod, 2005. "The role of data & program code archives in the future of economic research," Working Papers 2005-014, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2005-014
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    References listed on IDEAS

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    1. Vinod, H. D., 2001. "Care and feeding of reproducible econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 87-88, January.
    2. Christian Kleiber & Achim Zeileis, 2005. "Validating multiple structural change models-a case study," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 685-690.
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    Cited by:

    1. Leonard E. Burman & W. Robert Reed & James Alm, 2011. "A Call for Replication Studies," Public Finance Review, , vol. 39(1), pages 190-190, January.
    2. Richard G. Anderson, 2006. "Replicability, real-time data, and the science of economic research: FRED, ALFRED, and VDC," Review, Federal Reserve Bank of St. Louis, vol. 88(Jan), pages 81-93.
    3. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.
    4. Gary King, 2007. "An Introduction to the Dataverse Network as an Infrastructure for Data Sharing," Sociological Methods & Research, , vol. 36(2), pages 173-199, November.
    5. Cristobal Young & Charles Varner, 2015. "A Reply to “A Replication of “Millionaire Migration and State Taxation of Top Incomes," Public Finance Review, , vol. 43(2), pages 226-234, March.
    6. Sylvérie Herbert & Hautahi Kingi & Flavio Stanchi & Lars Vilhubern, 2021. "The Reproducibility of Economics Research: A Case Study," Working papers 853, Banque de France.
    7. Giovanni Baiocchi, 2007. "Reproducible research in computational economics: guidelines, integrated approaches, and open source software," Computational Economics, Springer;Society for Computational Economics, vol. 30(1), pages 19-40, August.

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