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Semi-nonparametric estimation of extended ordered probit models

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  • Mark B. Stewart

    (Economics Department, University of Warwick)

Abstract

This paper presents a semi-nonparametric estimator for a series of generalized models that nest the ordered probit model and thereby relax the distributional assumption in that model. It describes a new Stata command for fitting such models and presents an illustration of the approach. Copyright 2004 by StataCorp LP.

Suggested Citation

  • Mark B. Stewart, 2004. "Semi-nonparametric estimation of extended ordered probit models," Stata Journal, StataCorp LP, vol. 4(1), pages 27-39, March.
  • Handle: RePEc:tsj:stataj:v:4:y:2004:i:1:p:27-39 Note: Windows users should not attempt to download these files with a web browser.
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    References listed on IDEAS

    as
    1. Patrick Royston & John B. Carlin & Ian R. White, 2009. "Multiple imputation of missing values: New features for mim," Stata Journal, StataCorp LP, pages 252-264.
    2. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
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