Random Recursive Partitioning: a matchin
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Professor Giuseppe Porro; Stefano Maria Iacus
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Article
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2008
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John Wiley and Sons
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English
β 309 KB
## 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 nonβempty recursive partit