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The Grunfeld Data at 50


  • Kleiber, Christian
  • Zeileis, Achim


This paper revisits Grunfeld's well-known investment data, one of the most widely used data sets in all of applied econometrics, on the occasion of their 50th anniversary. It presents, apparently for the first time after the publication of the original Chicago Ph.D. thesis, the full data set, points out errors and inconsistencies in several currently available versions, and also revisits a number of empirical studies from the literature of the last five decades. Our findings provide a cautionary tale on the use of widely known data and underline the need for mandatory data and code archives.

Suggested Citation

  • Kleiber, Christian & Zeileis, Achim, 2010. "The Grunfeld Data at 50," MPRA Paper 20841, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:20841

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    References listed on IDEAS

    1. Bera, Anil K. & Sosa-Escudero, Walter & Yoon, Mann, 2001. "Tests for the error component model in the presence of local misspecification," Journal of Econometrics, Elsevier, vol. 101(1), pages 1-23, March.
    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.
    3. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    4. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    5. B.D. McCullough & Kerry Anne McGeary & Teresa D. Harrison, 2008. "Do economics journal archives promote replicable research?," Canadian Journal of Economics, Canadian Economics Association, vol. 41(4), pages 1406-1420, November.
    6. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, March.
    7. Richard Anderson & William Greene & B. D. McCullough & H. D. Vinod, 2008. "The role of data/code archives in the future of economic research," Journal of Economic Methodology, Taylor & Francis Journals, vol. 15(1), pages 99-119.
    8. B. D. McCullough & H. D. Vinod, 2003. "Verifying the Solution from a Nonlinear Solver: A Case Study," American Economic Review, American Economic Association, vol. 93(3), pages 873-892, June.
    9. Kate L. Antonovics & Arthur S. Goldberger, 2005. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation? Comment," American Economic Review, American Economic Association, vol. 95(5), pages 1738-1744, December.
    10. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    11. Henningsen, Arne & Hamann, Jeff D., 2007. "systemfit: A Package for Estimating Systems of Simultaneous Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i04).
    12. Zeileis, Achim, 2006. "Object-oriented Computation of Sandwich Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(i09).
    13. McCullough, B. D. & McGeary, Kerry Anne & Harrison, Teresa D., 2006. "Lessons from the JMCB Archive," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 1093-1107, June.
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    Cited by:

    1. Mantobaye Moundigbaye & Clarisse Messemer & Richard W. Parks & W. Robert Reed, 2016. "Bootstrap Methods for Inference in the Parks Model," Working Papers in Economics 16/22, University of Canterbury, Department of Economics and Finance.

    More about this item


    multiple-equation models; panel data; reproducibility;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General


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