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Bias-Corrected Matching Estimators for Average Treatment Effects

✍ Scribed by Abadie, Alberto; Imbens, Guido W.

Book ID
127126930
Publisher
American Statistical Association
Year
2011
Tongue
English
Weight
205 KB
Volume
29
Category
Article
ISSN
0735-0015

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## Abstract In this paper we introduce the Random Recursive Partitioning (RRP) matching method. RRP generates a proximity matrix which might be useful in econometric applications like average treatment effect estimation. RRP is a Monte Carlo method that randomly generates non‐empty recursive partit