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Estimation of marginal effects for models with alternative variable transformations

Author

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  • Fernando Rios-Avila

    (Levy Economics Institute of Bard College)

Abstract

margins is a powerful postestimation command that allows the estimation of marginal effects for official and community-contributed commands, with well-defined predicted outcomes (see predict). While the use of factor-variable notation allows one to easily estimate marginal effects when interactions and polynomials are used, estimation of marginal effects when other types of transformations such as splines, logs, or fractional polynomials are used remains a challenge. In this article, I describe how margins’s capabilities can be extended to analyze other variable transformations using the command f_able.

Suggested Citation

  • Fernando Rios-Avila, 2021. "Estimation of marginal effects for models with alternative variable transformations," Stata Journal, StataCorp LP, vol. 21(1), pages 81-96, March.
    • Handle: RePEc:tsj:stataj:v:21:y:2021:i:1:p:81-96
    DOI: 10.1177/1536867X211000005
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj21-1/st0628/
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