IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/38219.html
   My bibliography  Save this paper

Numerical accuracy of Ox 6.2

Author

Listed:
  • Kulaksizoglu, Tamer

Abstract

This article evaluates the numerical accuracy of Ox object-oriented matrix programming language. It uses the Standard Reference Datasets (StRD) for estimation accuracy, the ELV DOS program for statistical distribution accuracy, and the DIEHARD battery of randomness tests for random number generation accuracy. The main finding of the paper is that Ox is quite accurate in almost every area it is tested. However, it should also be stressed that there is room for improvement in its optimization library.

Suggested Citation

  • Kulaksizoglu, Tamer, 2012. "Numerical accuracy of Ox 6.2," MPRA Paper 38219, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:38219
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/38219/1/MPRA_paper_38219.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McCullough, B D, 1999. "Econometric Software Reliability: EViews, LIMDEP, SHAZAM and TSP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 191-202, March-Apr.
    2. Cribari-Neto, Francisco, 1997. "Econometric Programming Environments: GAUSS, Ox and S-PLUS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(1), pages 77-89, Jan.-Feb..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Kenneth G. Stewart, 2019. "Suits' Watermelon Model: The Missing Simultaneous Equations Empirical Application," Journal of Economics Teaching, Journal of Economics Teaching, vol. 4(2), pages 115-139, December.
    3. Kulaksizoglu, Tamer, 2015. "Object-Oriented Econometrics with Ox," MPRA Paper 62545, University Library of Munich, Germany.
    4. Sébastien Laurent & Jean‐Pierre Urbain, 2005. "Bridging the gap between Ox and Gauss using OxGauss," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 131-139, January.
    5. A. M. Kitchen & R. Drachenberg & J. Symanzik, 2003. "Assessing the reliability of web-based statistical software," Computational Statistics, Springer, vol. 18(1), pages 107-122, March.
    6. Thomassey, Sébastien, 2010. "Sales forecasts in clothing industry: The key success factor of the supply chain management," International Journal of Production Economics, Elsevier, vol. 128(2), pages 470-483, December.
    7. C. R. McKenzie & Sumiko Takaoka, 2003. "2002: A LIMDEP odyssey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 241-247.
    8. Dwyer, Gerald Jr. & Williams, K. B., 2003. "Portable random number generators," Journal of Economic Dynamics and Control, Elsevier, vol. 27(4), pages 645-650, February.
    9. Francisco Cribari-Neto & Spyros Zarkos, 2003. "Econometric and Statistical Computing Using Ox," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 277-295, June.
    10. van der Sluis Pieter J., 1997. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(3), pages 1-20, October.
    11. Gilles Teyssière, 2005. "Structural time series modelling with STAMP 6.02," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 571-577, May.
    12. Mateo Velásquez‐Giraldo & Gustavo Canavire‐Bacarreza & Kim P. Huynh & David T. Jacho‐Chavez, 2018. "Flexible Estimation of Demand Systems: A Copula Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1109-1116, November.
    13. Dirk Eddelbuettel, 2000. "Econometrics with Octave," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 531-542.
    14. Oluwarotimi O. Odeh & Allen M. Featherstone & Jason S. Bergtold, 2010. "Reliability of Statistical Software," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1472-1489.
    15. Kenneth G. Stewart, 2018. "Normalized CES supply systems: Replication of Klump, McAdam, and Willman (2007)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 290-296, March.
    16. Gilles Teyssière, 2005. "Structural time series modelling with STAMP 6.02," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 571-577.
    17. A. Talha Yalta & A. Yasemin Yalta, 2007. "GRETL 1.6.0 and its numerical accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 849-854.
    18. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.
    19. 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.
    20. Mihai Dinu & Simona Roxana Pătărlăgeanu & Radu Petrariu & Marius Constantin & Ana-Mădălina Potcovaru, 2020. "Empowering Sustainable Consumer Behavior in the EU by Consolidating the Roles of Waste Recycling and Energy Productivity," Sustainability, MDPI, vol. 12(23), pages 1-24, November.

    More about this item

    Keywords

    Ox matrix programming language; software numerical accuracy;

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:38219. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.