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Reproducible Econometric Simulations

Author

Listed:
  • Kleiber Christian

    (Universität Basel – Faculty of Business and Economics, Peter Merian-Weg 6, 4002 Basel, Switzerland)

  • Zeileis Achim

    (Faculty of Economics and Statistics, Universität Innsbruck, Universitätsstr. 15, 6020 Innsbruck, Austria)

Abstract

Reproducibility of economic research has attracted considerable attention in recent years. So far, the discussion has focused mainly on reproducibility of empirical analyses. This paper addresses a further aspect of reproducibility, the reproducibility of computational experiments. More specifically, we contribute to the emerging literature on reproducibility in economics along three lines: (i) we document how simulations of various types are an integral part of publications in modern econometrics, (ii) we provide some general guidelines about how to set up reproducible simulation experiments, and, finally, (iii) we provide a case study from time series econometrics that illustrates the main issues arising in connection with reproducibility, emphasizing the use of modular tools.

Suggested Citation

  • Kleiber Christian & Zeileis Achim, 2013. "Reproducible Econometric Simulations," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 89-99, July.
    • Handle: RePEc:bpj:jecome:v:2:y:2013:i:1:p:89-99:n:2
    DOI: 10.1515/jem-2012-0004
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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.
    2. Peter Kugler & Beatrice Weder, 2004. "International Portfolio Holdings and Swiss Franc Asset Returns," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(III), pages 301-325, September.
    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).
    4. Hansen, Bruce E, 1997. "Approximate Asymptotic P Values for Structural-Change Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 60-67, January.
    5. 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.
    6. Peter Bernholz, 2003. "Monetary Regimes and Inflation," Books, Edward Elgar Publishing, number 2873.
    7. Ernst Juerg Weber, 1988. "Currency Competition in Switzerland, 1826‐1850," Kyklos, Wiley Blackwell, vol. 41(3), pages 459-478, August.
    8. 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.
    9. Moon, Hyungsik Roger & Schorfheide, Frank, 2009. "Estimation with overidentifying inequality moment conditions," Journal of Econometrics, Elsevier, vol. 153(2), pages 136-154, December.
    10. Peter Kugler & Beatrice Weder, 2002. "The Puzzle of the Swiss Interest Rate Island: Stylized Facts and a New Interpretation," Aussenwirtschaft, University of St. Gallen, School of Economics and Political Science, Swiss Institute for International Economics and Applied Economics Research, vol. 57(01), pages 49-64, March.
    11. Hansen, Bruce E., 1992. "Testing for parameter instability in linear models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 517-533, August.
    12. Peter Kugler & Beatrice Weder, 2004. "International Portfolio Holdings and Swiss Franc Asset Returns," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(III), pages 301-325, September.
    13. 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.
    14. Hellekalek, P., 1998. "Good random number generators are (not so) easy to find," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 46(5), pages 485-505.
    15. 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.
    3. Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 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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