ntreatreg: a Stata module for estimation of treatment effects in the presence of neighborhood interactions

Giovanni Cerulli

United Kingdom Stata Users' Group Meetings 2014 from Stata Users Group

Abstract: This paper presents a parametric counter-factual model identifying average treatment effects (ATEs) by conditional mean independence when externality (or neighborhood) effects are incorporated within the traditional Rubin-potential outcome model. As such, it tries to generalize the usual control-function regression, widely used in program evaluation and epidemiology, when the stable unit treatment value assumption (SUTVA) is relaxed. As a by-product, the paper also presents ntreatreg, a user-written Stata routine for estimating ATEs when social interaction may be present. Finally, an instructional application of the model and of its Stata implementation (using ntreatreg) through two examples (the first on the effect of housing location on crime; the second on the effect of education on fertility) is shown and results compared with a no-interaction setting.

Date: 2014-09-28
New Economics Papers: this item is included in nep-ure
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http://repec.org/usug2014/cerulli_uksug14.pdf (application/pdf)

Related works:
Software Item: NTREATREG: Stata module for estimation of treatment effects in the presence of neighbourhood interactions (2022)
Working Paper: ntreatreg: A Stata module for estimation of treatment effects in the presence of neighborhood interactions (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:boc:usug14:15

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