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ginteff: A generalized command for computing interaction effects

Author

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  • Marius Radean

    (University of Essex)

Abstract

Interaction analyses are useful tools to examine complex socioeconomic outcomes in which the effect of one variable depends on the presence or values of another variable. Interaction effects capture simultaneous changes in two (or more) covariates, and their computation is especially challenging in nonlinear models. For such models, a statistically significant interaction-term coefficient does not necessarily indicate significant interactive effects. For analyses in which the interaction effect cannot be inferred from the model estimates, I introduce ginteff, a new command that automatically computes two- and three-way interaction effects. The command accommodates a large suite of estimation models and allows researchers to use either the partial derivative or the first difference to model the effect of the interacted variables.

Suggested Citation

  • Marius Radean, 2023. "ginteff: A generalized command for computing interaction effects," Stata Journal, StataCorp LP, vol. 23(2), pages 301-335, June.
    • Handle: RePEc:tsj:stataj:v:23:y:2023:i:2:p:301-335
    DOI: 10.1177/1536867X231175253
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    Cited by:

    1. Ito, Tadashi & Ryan, Michael & Tanaka, Ayumu, 2023. "FDI, financial constraint, and partial ownership," SocArXiv 9djup_v1, Center for Open Science.
    2. Tadashi Ito & Michael Ryan & Ayumu Tanaka, 2024. "FDI, financial constraint and partial ownership," The World Economy, Wiley Blackwell, vol. 47(7), pages 2789-2827, July.

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