Reproducible research in computational economics: guidelines, integrated approaches, and open source software
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
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Volume (Year): 30 (2007)
Issue (Month): 1 (August)
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- Baiocchi, Giovanni, 2004. "Using Perl for Statistics: Data Processing and Statistical Computing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i01).
- Jeff Racine & Rob Hyndman, 2002.
"Using R to teach econometrics,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 17(2), pages 175-189.
- Racine, J & Hyndman, R.J., 2001. "Using R to Teach Econometrics," Monash Econometrics and Business Statistics Working Papers 10/01, Monash University, Department of Econometrics and Business Statistics.
- Josh Lerner & Jean Triole, 2000. "The Simple Economics of Open Source," NBER Working Papers 7600, National Bureau of Economic Research, Inc.
- Dirk Eddelbuettel, 2000. "Econometrics with Octave," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 531-542.
- MacKinnon, James G, 1999. "The Linux Operating System: Debian GNU/Linux," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 443-52, July-Aug..
- Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
- Giovanni Baiocchi & Walter Distaso, 2003. "GRETL: Econometric software for the GNU generation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 105-110.
- Vinod, H. D., 2001. "Care and feeding of reproducible econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 87-88, January.
- J. Racine, 2000. "The Cygwin tools: a GNU toolkit for Windows," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 331-341.
- Gentleman Robert, 2005. "Reproducible Research: A Bioinformatics Case Study," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-25, January.
- H. D. Vinod, 2000. "Review of GAUSS for Windows, including its numerical accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(2), pages 211-220.
- Dewald, William G & Thursby, Jerry G & Anderson, Richard G, 1986. "Replication in Empirical Economics: The Journal of Money, Credit and Banking Project," American Economic Review, American Economic Association, vol. 76(4), pages 587-603, September.
- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
- 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.
- 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.
- 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.
- H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
- 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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