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| dc.title | A Primer for Applying Propensity-Score Matching |
| dc.contributor.author | Heinrich, Carolyn |
| dc.contributor.author | Maffioli, Alessandro |
| dc.contributor.author | Vázquez, Gonzalo |
| dc.contributor.orgunit | Strategy Development Division |
| dc.date.available | 2011-02-11T00:00:00 |
| dc.date.issue | 2010-08-20T00:00:00 |
| dc.description.abstract | This document provides a guide to the key aspects of implementing Propensity-Score Matching (PSM) methodology. It summarizes the basic conditions under which PSM can be used to estimate the impact of a program and the data required, presenting examples of PSM applications. It explains how the Conditional Independence Assumption, combined with the Overlap Condition, reduces selection bias when participation in a program is determined by observable characteristics. It also describes different matching algorithms and some tests to assess the quality of the matching. |
| dc.identifier.doi | http://dx.doi.org/10.18235/0008567 |
| dc.identifier.url | https://publications.iadb.org/publications/english/document/A-Primer-for-Applying-Propensity-Score-Matching.pdf |
| dc.language.iso | en |
| dc.medium | Adobe PDF |
| dc.publisher | Inter-American Development Bank |
| dc.subject | Education |
| dc.subject | Poverty |
| dc.subject | Social Development |
| dc.subject | Urban Development |
| dc.subject.keywords | Policy Evaluation; Microeconometrics; Propensy-Score Matching; Average Treatment Effect on the Treated; Development Effectiveness |
| dc.type | Technical Notes |
| idb.identifier.pubnumber | Technical Notes |