Cited by 220Statistical and numerical algorithmsAdvanced Statistical Methods and ModelsStatistical Methods and Applications

Verifying the Solution from a Nonlinear Solver: A Case Study

McCullough, B. D, Vinod, H. D·2003·American Economic Review

Abstract

The probit is generally considered to be one of the easiest nonlinear maximum likelihood problems. Nonetheless, in the course of at-tempting to replicate G. S. Maddala’s (1992, pp. 335–38) probit example, Houston Stokes (2003) encountered great difficulty. Of the six coeffi-cients, five coefficients/standard errors he could duplicate, but the sixth was off by more than rounding error. So he tried another package. And another. And another.... Finally, five dif-ferent packages had declared convergence to five solutions that differed only in the sixth coefficient. Estimates of the sixth coefficient ranged from 4.4 to 8.1, and estimates on its standard error ranged from 46 to 114,550.

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References 68 · Cited by 220

Authors
McCullough, B. D., & Vinod, H. D.
Affiliations
  • Drexel University (US)
  • Fordham University (US)
Venue
American Economic Review
Published
2003-05-01
Volume
93
Issue
3
Pages
873-892
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2081962207
Cited by
220
References
68
Citations by year
2026: 7 · 2025: 2 · 2024: 8 · 2023: 4 · 2022: 11 · 2021: 6 · 2020: 34 · 2019: 16 · 2018: 7 · 2017: 6 · 2016: 9 · 2015: 7 · 2014: 8 · 2013: 11 · 2012: 5
FWCI
15.38
Type
journal article
Language
en
Open access
closed
Locations
  • American Economic Review (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
probit model, solution verification, standard errors, coefficient estimation, replication

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