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f_able estimation of marginal with transformed data

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  • Fernando Rios-Avila

    (Levy Economics Institute)

Abstract

The command margins is a very powerful command that can be used for the estimation of marginal effects for linear and non-linear models (using official or community-contributed commands), as long as the variables of interest are introduced linearly or as polynomials (using factor notation). When other types of transformations are used, Stata is usually unable to estimate marginal effecs correctly because it may not understand that, for example, log_x is actually log(x), considering it as an unrelated independent variable in the model. In this presentation, I provide a simple command, f_able, that enables margins to correctly estimate marginal effects when transformations other than polynomials are used in the model specification.

Suggested Citation

  • Fernando Rios-Avila, 2020. "f_able estimation of marginal with transformed data," 2020 Stata Conference 11, Stata Users Group.
    • Handle: RePEc:boc:scon20:11
    as

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    File URL: http://fmwww.bc.edu/repec/scon2020/us20_Rios-Avila1.pdf
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    References listed on IDEAS

    as
    1. Brian P. Poi, 2008. "Stata tip 58: nl is not just for nonlinear models," Stata Journal, StataCorp LP, vol. 8(1), pages 139-141, February.
    2. Patrick Royston, 2013. "marginscontplot: Plotting the marginal effects of continuous predictors," Stata Journal, StataCorp LP, vol. 13(3), pages 510-527, September.
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