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Standard errors of marginal effects in the heteroskedastic probit model

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  • Cornelißen, Thomas

Abstract

In non-linear regression models, such as the heteroskedastic probit model, coefficients cannot be interpreted as marginal effects. Marginal effects can be computed as a non-linear combination of the regression coefficients. Standard errors of the marginal effects needed for inference and hypothesis testing have to be derived by approximation using methods such as the delta method. This paper applies the delta method to derive analytically the standard errors of marginal effects in a heteroskedastic probit model. The computation is implemented as a Stata ado-file called mehetprob which can be downloaded from the internet. This allows to compute marginal effects at means and their standard errors in a heteroskedastic probit model faster than by numerical calculation which is implemented in the mfx routine currently available in Stata for that purposes.

Suggested Citation

  • Cornelißen, Thomas, 2005. "Standard errors of marginal effects in the heteroskedastic probit model," Hannover Economic Papers (HEP) dp-320, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  • Handle: RePEc:han:dpaper:dp-320
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    File URL: http://diskussionspapiere.wiwi.uni-hannover.de/pdf_bib/dp-320.pdf
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    Citations

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    Cited by:

    1. David Neumark, 2012. "Detecting Discrimination in Audit and Correspondence Studies," Journal of Human Resources, University of Wisconsin Press, vol. 47(4), pages 1128-1157.
    2. Javier Gutiérrez Rueda, 2010. "Un análisis de riesgo de crédito de las empresas del sector real y sus determinantes," Temas de Estabilidad Financiera 046, Banco de la Republica de Colombia.
    3. Carlsson, Magnus & Fumarco, Luca & Rooth, Dan-Olof, 2013. "Artifactual evidence of discrimination in correspondence studies? A replication of the Neumark method," POLIS Working Papers 172, Institute of Public Policy and Public Choice - POLIS.

    More about this item

    Keywords

    heteroskedastic probit model; marginal effects; Stata;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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