The Variance of Non-Parametric Treatment Effect Estimators in the Presence of Clustering | Zendy

Samuel Hanson | Zendy; Adi Sunderam | Zendy

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The Variance of Non-Parametric Treatment Effect Estimators in the Presence of Clustering

Author(s) -

Samuel Hanson,

Adi Sunderam

Publication year - 2011

Publication title -

the review of economics and statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 8.999

H-Index - 165

eISSN - 1530-9142

pISSN - 0034-6535

DOI - 10.1162/rest_a_00211

Subject(s) - estimator , nonparametric statistics , cluster analysis , variance (accounting) , matching (statistics) , econometrics , statistics , parametric statistics , mathematics , computer science , economics , accounting

Nonparametric estimators of treatment effects are often applied in settings where clustering may be important. We provide a general methodology for consistently estimating the variance of a large class of nonparametric estimators, including the simple matching estimator, in the presence of clustering. Software for implementing our variance estimator is available in Stata.

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