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Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility

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Author Info

  • Michael S. Delgado

    (Department of Agricultural Economics, Purdue University)

  • Christopher F. Parmeter

    (Department of Economics, University of Miami)

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    Abstract

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    File URL: http://bus.miami.edu/_assets/files/repec/WP2013-06.pdf
    File Function: First version, 2013
    Download Restriction: no

    Bibliographic Info

    Paper provided by University of Miami, Department of Economics in its series Working Papers with number 2013-06.

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    Length: 23 pages
    Date of creation: 17 Jan 2013
    Date of revision:
    Handle: RePEc:mia:wpaper:2013-06

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    Web page: http://www.bus.miami.edu/faculty-and-research/academic-departments/economics/index.html
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    Related research

    Keywords: Parallel processing; reproducibility; computational efficiency; bootstrap; nonlinear optimization; Monte Carlo;

    This paper has been announced in the following NEP Reports:

    References

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    1. Swann, Christopher A, 2002. "Maximum Likelihood Estimation Using Parallel Computing: An Introduction to MPI," Computational Economics, Society for Computational Economics, vol. 19(2), pages 145-78, April.
    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. Michael Creel, 2007. "I ran four million probits last night: HPC clustering with ParallelKnoppix," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 215-223.
    4. Christopher A. Swann, 2001. "Software for parallel computing: the LAM implementation of MPI," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 185-194.
    5. Manuel Eugster & Jochen Knaus & Christine Porzelius & Markus Schmidberger & Esmeralda Vicedo, 2011. "Hands-on tutorial for parallel computing with R," Computational Statistics, Springer, vol. 26(2), pages 219-239, June.
    6. Evan Meredith & Jeffrey S. Racine, 2009. "Towards reproducible econometric research: the Sweave framework," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 366-374, 03.
    7. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Society for Computational Economics, vol. 26(2), pages 107-128, October.
    8. Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2011. "npRmpi: A package for parallel distributed kernel estimation in R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 344-349, March.
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