B.D. McCullough 1319Gourieroux, C. and A. Montfort (1997)Simulation-based Econometric Methods. New York:
Oxford University Press.
Granger, C.W.J. and P. Newbold (1977)Forecasting Economic Time Series. Orlando, Flor.:
Academic Press.
Keeling, K.B. and R.J. Pavur (2004) Numerical accuracy issues in using Excel for simulation
studies. In R.G. Ingalls, M.D. Rossetti, J.S. Smith and B.A. Peters (eds.),Proceedings of the
2004 Winter Simulation Conference, Volume 2, pp. 1513–18. Piscataway, NJ: IEEE.
Keeling, K.B. and R.J. Pavur (2007) A comparative study of the reliability of nine statistical
software packages.Computational Statistics and Data Analysis 51 (8), 3811–31.
Kennedy, W. and J. Gentle (1980)Statistical Computing. New York: Marcel-Dekker.
Kitchen, A.M., R. Drachenerg and J. Symanzik (2003) Assessing the reliability of web-based
statistical software.Computational Statistics 18 (1), 107–22.
Knüsel, L. (1989) Computergestützte Berechnung statistischer Verteilungen. München-Wien:
Oldenbourg (English version available at http://www.stat.uni-muenchen.de/ knuesel/elv).
Knuth, D. (1998)The Art of Computer Programming, Volume 2: Seminumerical Algorithms, 3e.
Reading, Mass.: Addison-Wesley.
L’Ecuyer, P. and R. Simard (2007) TestU01: a C library for empirical testing of random number
generators.ACM TOMS 33 (4), Article 22.
Ling, R.F. (1974) Comparison of several algorithms for computing sample means and
variances.Journal of the American Statistical Association 69 , 859–66.
Longley, J.W. (1967) An appraisal of least-squares programs from the point of view of the
user.Journal of the American Statistical Association 62 (319), 819–41.
Marsaglia, G. (1996) DIEHARD: a battery of tests of randomness, http://stat.fsu.edu/pub/diehard.
McCullough, B.D. (1998a) Assessing the reliability of statistical software: part I.American
Statistician 52 (4), 358–66.
McCullough, B.D. (1998b) Algorithm choice for (partial) autocorrelation functions.Journal
of Economic and Social Measurement 24 (3/4), 265–78.
McCullough, B.D. (1999a) Assessing the reliability of statistical software: part II.The American
Statistician 53 (2), 149–59.
McCullough, B.D. (1999b) Econometric software reliability: E-Views, LIMDEP, SHAZAM, and
TSP.Journal of Applied Econometrics 14 (2), 191–202.
McCullough, B.D. (2000a) Is it safe to assume that software is accurate?International Journal
of Forecasting 16 (3), 349–57.
McCullough, B.D. (2000b) Experience with the StRD: application and interpretation.Com-
puting Science and Statistics 31 , 16–21.
McCullough, B.D. (2000c) The accuracy of Mathematica 4 as a statistical package.Computa-
tional Statistics 15 (2), 279–99.
McCullough, B.D. (2001) Random number generators. In A. El-Shaarawi and W. Piegorsch
(eds.),Encyclopedia of Environmetrics, Volume 3, pp. 1678–81. New York: Wiley.
McCullough, B.D. (2004a) Wilkinson’s tests and econometric software.Journal of Economic
and Social Measurement 29 (1–3), 261–70.
McCullough, B.D. (2004b) Some details of nonlinear estimation. In M. Altman, J. Gill and
M.P. McDonald (eds.),Numerical Methods in Statistical Computing for the Social Sciences,
pp. 199–218. New York: Wiley.
McCullough, B.D. (2006) A review of TESTU01.Journal of Applied Econometrics 21 (5),677–82.
McCullough, B.D., K.A.McGeary and T.D. Harrison (2006) Lessons from the JMCB archive.
Journal of Money, Credit and Banking 38 (4), 1093–107.
McCullough, B.D., K.A. McGeary and T.D. Harrison (2008) Do economics journal archives
promote replicable research?Canadian Journal of Economics. Forthcoming.
McCullough, B.D. and C.G. Renfro (1999) Benchmarks and software standards: A case study
of GARCH procedures.Journal of Economic and Social Measurement 25 (2), 59–71.
McCullough, B.D. and C.G. Renfro (2000) Some numerical aspects of nonlinear estimation.
Journal of Economic and Social Measurement 26 (1), 63–77.