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- Edward C. Norton
- Department of Health Policy and Administration University of North Carolina at Chapel Hill
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- Hua Wang
- Department of Health Policy and Administration University of North Carolina at Chapel Hill
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- Chunrong Ai
- Department of Economics University of Florida and Tsinghua University, China
書誌事項
- 公開日
- 2004-06
- 権利情報
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- https://journals.sagepub.com/page/policies/text-and-data-mining-license
- DOI
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- 10.1177/1536867x0400400206
- 公開者
- SAGE Publications
この論文をさがす
説明
<jats:p> This paper explains why computing the marginal effect of a change in two variables is more complicated in nonlinear models than in linear models. The command inteff computes the correct marginal effect of a change in two interacted variables for a logit or probit model, as well as the correct standard errors. The inteff command graphs the interaction effect and saves the results to allow further investigation. </jats:p>
収録刊行物
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- The Stata Journal: Promoting communications on statistics and Stata
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The Stata Journal: Promoting communications on statistics and Stata 4 (2), 154-167, 2004-06
SAGE Publications