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Reproducible Econometric Simulations

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  • Kleiber, Christian

    (University of Basel)

  • Zeileis, Achim

Abstract

Reproducibility of economic research has attracted considerable attention in recent years. So far, the discussion has focused on reproducibility of empirical analyses. This paper addresses a further aspect of reproducibility, the reproducibility of computational experiments. We examine the current situation in econometrics and derive a set of guidelines from our ndings. To illustrate how computational experiments could be conducted and reported we present an example from time series econometrics that explores the nite-sample power of certain structural change tests.

Suggested Citation

  • Kleiber, Christian & Zeileis, Achim, 2010. "Reproducible Econometric Simulations," Working papers 2010/12, Faculty of Business and Economics - University of Basel.
  • Handle: RePEc:bsl:wpaper:2010/12
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    References listed on IDEAS

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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
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    3. Zeileis, Achim & Leisch, Friedrich & Hornik, Kurt & Kleiber, Christian, 2002. "strucchange: An R Package for Testing for Structural Change in Linear Regression Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i02).
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    7. Kugler, Peter & Weder, Beatrice, 2005. "Why are Returns on Swiss Franc Asset so Low?," Working papers 2005/08, Faculty of Business and Economics - University of Basel.
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    11. Kugler, Peter & Weder di Mauro, Beatrice, 2005. "Why Are Returns on Swiss Franc Assets So Low? Rare Events May Solve the Puzzle," CEPR Discussion Papers 5181, C.E.P.R. Discussion Papers.
    12. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.
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    Cited by:

    1. Christian Zimmermann, 2015. "On the Need for a Replication Journal," Working Papers 2015-16, Federal Reserve Bank of St. Louis.
    2. Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.

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    More about this item

    Keywords

    computational experiment; reproducibility; simulation; software;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C - Mathematical and Quantitative Methods
    • C - Mathematical and Quantitative Methods

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