Work

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

Year: 2011

Type: article

Abstract: 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.

Source: The Review of Economics and Statistics

DOI: 10.1162/rest_a_00211

Authors: Samuel G. Hanson, Adi Sunderam

Institution: Harvard University

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1980936306

FWCI: 1.947

Cites: 15

Cited by: 16

Related to: 10