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The Numerical Reliability of Econometric Software

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Author Info
B. D. McCullough
H. D. Vinod

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Abstract

Numerous examples show that some econometric software packages contain serious flaws, and that users cannot safely assume that their software is accurate. A brief survey of the fundamentals of computer arithmetic discusses the sources of numerical error and emphasizes that computer arithmetic is not at all like pencil-and-paper arithmetic. Both users and developers of econometrics software should first pay attention to accuracy, and only later consider user-friendliness. Details are provided for assessing the accuracy of basic estimation routines, statistical distributions, and random number generators. More accuracy benchmarks are needed, especially for specialized econometric procedures.

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Publisher Info
Article provided by American Economic Association in its journal Journal of Economic Literature.

Volume (Year): 37 (1999)
Issue (Month): 2 (June)
Pages: 633-665
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Handle: RePEc:aea:jeclit:v:37:y:1999:i:2:p:633-665

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  1. Ricardo De Bonis & Giuseppe Bruno, 2000. "A Comparative Study Of Alternative Econometric Packages: An Application To Italian Deposit Interest Rates," Computing in Economics and Finance 2000 160, Society for Computational Economics. [Downloadable!]
  2. Myeong-Su Yun, 1999. "Generalized Selection Bias and The Decomposition of Wage Differentials," IZA Discussion Papers 69, Institute for the Study of Labor (IZA). [Downloadable!]
  3. 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. [Downloadable!]
  4. A. Talha Yalta & Olaf Jenal, 2008. "On the Importance of Verifying Forecasting Results," Working Papers 0804, TOBB University of Economics and Technology, Department of Economics. [Downloadable!]
  5. José M. Labeaga & Xisco Oliver & Amedeo Spadaro, . "Measuring Changes in Health Capital," Working Papers 2005-15, FEDEA. [Downloadable!]
  6. 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. [Downloadable!]
  7. 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. [Downloadable!]
  8. Mencía, Javier & Sentana, Enrique, 2005. "Estimation and Testing of Dynamic Models with Generalized Hyperbolic Innovations," CEPR Discussion Papers 5177, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  9. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109. [Downloadable!]
  10. 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. [Downloadable!]
  11. Gabriele Fiorentini & Enrique Sentana & Giorgio Calzolari, 2000. "The Score Of Conditionally Heteroskedastic Dynamic Regression Models With Student T Innovations, An Lm Test For Multivariate Normality," Working Papers. Serie AD 2000-33, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
  12. Wolfers, Justin, 2003. "Did Unilateral Divorce Laws Raise Divorce Rates? A Reconciliation and New Results," Research Papers 1819, Stanford University, Graduate School of Business. [Downloadable!]
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  13. B. D. McCullough & H. D. Vinod, 2004. "Verifying the Solution from a Nonlinear Solver: A Case Study: Reply," American Economic Review, American Economic Association, vol. 94(1), pages 391-396, March. [Downloadable!]
    Other versions:
  14. David M. Lilien, 2000. "Econometric software reliability and nonlinear estimation in EViews: comment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 107-110. [Downloadable!]
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