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Multinomial Probit Models of Military Enlistments: A Comparison of Alternative Solution Algorithms

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  • Dale, Charles

Abstract

The increasing popularity of qualitative response models in recent years has led to the development of sophisticated algorithms to solve them. The relative efficiency and accuracy of various algorithms is a subject of considerable importance to the Army, because the results derived from probit models may be used increasingly by Army decision makers. This paper compares the accuracy and cost of several types of algorithms used to model the decision whether or not to enlist in the military. The paper concludes that econometricians who undertake analyses using large databases for cross-sectional studies will gain very little by using some of the recently developed algorithms such as BHHH. These new methods represent elegant and impressive theoretical achievements, but in practice they do not justify their enormous cost.

Suggested Citation

  • Dale, Charles, 1983. "Multinomial Probit Models of Military Enlistments: A Comparison of Alternative Solution Algorithms," MPRA Paper 49339, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:49339
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    References listed on IDEAS

    as
    1. Dale, Charles & Gilroy, Curtis, 1985. "Enlistments in the All-Volunteer Force: Note," American Economic Review, American Economic Association, vol. 75(3), pages 547-551, June.
    2. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    3. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Probit Models; Military Economics: Simulations;

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

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