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Power of tests in Binary Response Models

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Author Info
Savin, N.E. () (University of Iowa)
Wurtz, A.

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Abstract

Most hypotheses in binary response models are composite. The null hypothesis is usually that one or more slope coefficients are zero. Typically, the sequence of alternatives of interest is one in which the slope coefficients are increasing in absolute value. In this papar, we prove that the power goes to zero for this sequence of alternatives of interest in cases which often occur in practice.

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Publisher Info
Paper provided by University of Iowa, Department of Economics in its series Working Papers with number 96-06.

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Length: 12 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:uia:iowaec:96-06

Contact details of provider:
Postal: University of Iowa, Department of Economics, Henry B. Tippie College of Business, Iowa City, Iowa 52242
Phone: (319) 335-0829
Fax: (319) 335-1956
Web page: http://tippie.uiowa.edu/economics/
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Related research
Keywords: ECONOMIC MODELS; ECONOMETRICS;

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Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis

References listed on IDEAS
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  1. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December. [Downloadable!] (restricted)
  2. Nelson, Forrest D & Savin, N E, 1990. "The Danger of Extrapolating Asymptotic Local Power," Econometrica, Econometric Society, vol. 58(4), pages 977-81, July. [Downloadable!] (restricted)
  3. Killingsworth, Mark R. & Heckman, James J., 1987. "Female labor supply: A survey," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 2, pages 103-204 Elsevier. [Downloadable!] (restricted)
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This page was last updated on 2009-11-27.

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