Radean, Marius (2023) ginteff: A Generalized Command for Computing Interaction Effects. The Stata Journal, 23 (2). pp. 301-335. DOI https://doi.org/10.1177/1536867X231175253
Radean, Marius (2023) ginteff: A Generalized Command for Computing Interaction Effects. The Stata Journal, 23 (2). pp. 301-335. DOI https://doi.org/10.1177/1536867X231175253
Radean, Marius (2023) ginteff: A Generalized Command for Computing Interaction Effects. The Stata Journal, 23 (2). pp. 301-335. DOI https://doi.org/10.1177/1536867X231175253
Abstract
Interaction analyses are a useful tool to examine complex socio-economic outcomes where the effect of one variable depends on the presence or values of another variable. Interaction effects capture the simultaneous change 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 where the interaction effect cannot be inferred from the model estimates, I introduce ginteff, a new Stata program that automatically computes two- and three-way interaction effects. The program accommodates a large suite of estimation models, and allows researchers to employ either the partial derivative or the first difference to model the effect of the interacted variables.
Item Type: | Article |
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Uncontrolled Keywords: | ginteff, ginteffplot, average interaction effect, individual-level interaction effects, two-way interactions, three-way interactions |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Government, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 07 Jun 2023 13:43 |
Last Modified: | 28 Jun 2023 10:38 |
URI: | http://repository.essex.ac.uk/id/eprint/34413 |
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Licence: Creative Commons: Attribution-Noncommercial 4.0