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Estimation of Marginal Effects using Margeff
Open accessAbstract
This article describes the user-written program margeff, which enables the fast estimation of (average) marginal effects. Besides describing the program, this article offers a new discussion of some problems that are related to computation of marginal effects. I will argue that (1) marginal effects computed at means are not good approximations of average marginal effects, computed as means of marginal effects evaluated at each observations, if some of the parameter estimates are large; (2) both average marginal effects and marginal effects computed at means might produce wrong estimates for dummies that are part of a set of indicator variables indicating different categories of a single underlying variable; and (3) the use of marginal effects computed at means is preferred if some of the regressors are mathematical transformations of other regressors.
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Cited by
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Uher, R., Tansey, K. E., Dew, T., Maier, W., Mors, O., Hauser, J., Dernovsek, M. Z., Henigsberg, N., Souery, D., Farmer, A., et al. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14010094 · Cited by 418
Metadata
- Authors
- Bartus, T.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2005-09
- Volume
- 5
- Issue
- 3
- Pages
- 309-329
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W2144026687
- Cited by
- 457
- References
- 0
- FWCI
- 10.30
- Type
- journal article
- Language
- en
- Open access
- bronze
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