1. Racine, Jeffrey, 2001. "On the Nonlinear Predictability of Stock Returns Using Financial and Economic Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(3), pages 380-82, July.
2. Fiorentini, Gabriele & Calzolari, Giorgio & Panattoni, Lorenzo, 1996. "Analytic Derivatives and the Computation of GARCH Estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 399-417, July-Aug.. [Downloadable!] (restricted)
   Other versions:
   • Fiorentini,G. & Calzolari,G. & Panattoni,L., 1995. "Analytic Derivatives and the Computation of Garch Estimates," Papers 9519, Centro de Estudios Monetarios Y Financieros-.
3. Ron Shachar & Barry Nalebuff, 1999. "Follow the Leader: Theory and Evidence on Political Participation," American Economic Review, American Economic Association, vol. 89(3), pages 525-547, June. [Downloadable!] (restricted)
   Other versions:
   • Barry Nalebuff & Roni Shachar, 1997. "Follow The Leader: Theory And Evidence On Political Participation," Yale School of Management Working Papers ysm57, Yale School of Management. [Downloadable!]
4. Jurgen A. Doornik & Marius Ooms, 2000. "Multimodality and the GARCH Likelihood," Econometric Society World Congress 2000 Contributed Papers 0798, Econometric Society. [Downloadable!]
   Other versions:
   • Jurgen A. Doornik and Marius Ooms, 2001. "Multimodality and the GARCH Likelihood," Computing in Economics and Finance 2001 76, Society for Computational Economics.
5. 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. [Downloadable!] (restricted)
6. Newbold, Paul & Agiakloglou, Christos & Miller, John, 1994. "Adventures with ARIMA software," International Journal of Forecasting, Elsevier, vol. 10(4), pages 573-581, December. [Downloadable!] (restricted)
7. E.K. Berndt & B.H. Hall & R.E. Hall, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 103-116 National Bureau of Economic Research, Inc. [Downloadable!]
8. B. D. McCullough & H. D. Vinod, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June. [Downloadable!] (restricted)
9. Brooks, Chris & Burke, Simon P. & Persand, Gita, 2001. "Benchmarks and the accuracy of GARCH model estimation," International Journal of Forecasting, Elsevier, vol. 17(1), pages 45-56. [Downloadable!] (restricted)
10. 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.
11. 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!]
12. Richard G. Anderson & William G. Dewald, 1994. "Replication and scientific standards in applied economics a decade after the Journal of Money, Credit and Banking project," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 79-83. [Downloadable!]
13. McCullough, B. D. & Wilson, Berry, 1999. "On the accuracy of statistical procedures in Microsoft Excel 97," Computational Statistics & Data Analysis, Elsevier, vol. 31(1), pages 27-37, July. [Downloadable!] (restricted)

Cited by:
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1. Kurt F. Lewis, 2008. "The two-period rational inattention model: accelerations and analyses," Finance and Economics Discussion Series 2008-22, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
   Other versions:
   • Kurt Lewis, 2009. "The Two-Period Rational Inattention Model: Accelerations and Analyses," Computational Economics, Springer, vol. 33(1), pages 79-97, February. [Downloadable!] (restricted)
2. 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!]
   Other versions:
   • Yalta, A. Talha & Jenal, Olaf, 2009. "On the importance of verifying forecasting results," International Journal of Forecasting, Elsevier, vol. 25(1), pages 62-73. [Downloadable!] (restricted)
3. David M. Drukker & Vince Wiggins, 2004. "Verifying the Solution from a Nonlinear Solver: A Case Study: Comment," American Economic Review, American Economic Association, vol. 94(1), pages 397-399, March. [Downloadable!]
4. H. D. Vinod, 2003. "Review of mathStatica (v.1): an add-on to Mathematica," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 485-491.
5. Peter E. Kennedy, 2005. "Oh No! I Got the Wrong Sign! What Should I Do?," Journal of Economic Education, Helen Dwight Reid Foundation, vol. 36(1), pages 77-92. [Downloadable!]
6. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847. [Downloadable!]
7. Hrishikesh D. Vinod, 2008. "Heteroscedasticity and Autocorrelation Efficient (HAE) Estimation and Pivots for Jointly Evolving Series," Fordham Economics Discussion Paper Series dp2008-15, Fordham University, Department of Economics. [Downloadable!]
8. Ron Shachar & Barry Nalebuff, 2004. "Verifying the Solution from a Nonlinear Solver: A Case Study: Comment," American Economic Review, American Economic Association, vol. 94(1), pages 382-390, March. [Downloadable!]
9. Stefan Günnel & Karl-Heinz Tödter, 2009. "Does Benford’s Law hold in economic research and forecasting?," Empirica, Springer, vol. 36(3), pages 273-292, August. [Downloadable!] (restricted)