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Reproducible research in computational economics: guidelines, integrated approaches, and open source software

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  • Giovanni Baiocchi

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Abstract

Traditionally, computer and software applications have been used by economists to off-load otherwise complex or tedious tasks onto technology, freeing up time and intellect to address other, intellectually more rewarding, aspects of research. On the negative side, this increasing dependence on computers has resulted in research that has become increasingly difficult to replicate. In this paper, we propose some basic standards to improve the production and reporting of computational results in economics for the purpose of accuracy and reproducibility. In particular, we make recommendations on four aspects of the process: computational practice, published reporting, supporting documentation, and visualization. Also, we reflect on current developments in the practice of computing and visualization, such as integrated dynamic electronic documents, distributed computing systems, open source software, and their potential usefulness in making computational and empirical research in economics more easily reproducible. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • 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.
  • Handle: RePEc:kap:compec:v:30:y:2007:i:1:p:19-40
    DOI: 10.1007/s10614-007-9084-4
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    References listed on IDEAS

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    2. Josh Lerner & Jean Triole, 2000. "The Simple Economics of Open Source," NBER Working Papers 7600, National Bureau of Economic Research, Inc.
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    6. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    7. Giovanni Baiocchi, 2003. "Managing econometric projects using Perl," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 371-378.
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    Citations

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    Cited by:

    1. Diaz-Emparanza, Ignacio, 2014. "Numerical distribution functions for seasonal unit root tests," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 237-247.
    2. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.
    3. Rodolphe Buda, 2015. "Data Checking and Econometric Software Development: A Technique of Traceability by Fictive Data Encoding," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 325-357, August.
    4. Giovanni Baiocchi, 2009. "PDL: an object-oriented programming environment for econometrics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 849-856.

    More about this item

    Keywords

    Economic methodology; Econometric software; Other computer software; B4; C87; C88;

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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