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Implementing Matching Estimators for Average Treatment Effects in Stata
Open accessAbstract
This paper presents an implementation of matching estimators for average treatment effects in Stata. The nnmatch command allows you to estimate the average effect for all units or only for the treated or control units; to choose the number of matches; to specify the distance metric; to select a bias adjustment; and to use heteroskedastic-robust variance estimators.
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Research works printed but not linked: 12
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Metadata
- Authors
- Abadie, A., Drukker, D., Herr, J. L., & Imbens, G. W.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2004-08
- Volume
- 4
- Issue
- 3
- Pages
- 290-311
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W2096206955
- Cited by
- 1,386
- References
- 0
- FWCI
- 25.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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