PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing

By E. Leuven, B. Sianesi. 2003

2,944 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0dececed1f73b26d1c2b48a2394503fcd0453510

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Poverty Reduction Effects of Agricultural Technology Adoption: A Micro-evidence from Rural Tanzania (2012, methodology): “In this article, the common support region is implemented, following the example of Leuven and Sianesi (2003), discarding observation from the adopters group, whose propensity score is higher than the maximum or less than the minimum propensity score of non-adopters.”
Reading to Young Children: A Head-Start in Life? (2014, unknown): “Finally, in the third approach we use propensity score matching (command PSMATCH2 in Stata) to account for selectivity in the intensity with which children are being read to through a reweighing of the skill equation in (1) based on predicted propensity scores (Leuven and Sianesi, 2003).”
Gang Membership and Adherence to the “Code of the Street” (2013, methodology): “…research question, which examines whether those youths that join gangs have a stronger adherence to the street code than nongang members, we use propensity score matching using the psmatch2 module (Leuven & Sianesi, 2003) available in Stata 10.0 to create matched groups of gang and nongang members.”
Housing and Employment Insecurity among the Working Poor (2016, background): “The LR Chi2 and p>Chi2 are test statistics for the global null hypothesis that the coefficients for these variables are all simultaneously equal to 0 (Leuven and Sianesi 2003).”
A Primer for Applying Propensity-Score Matching (2010, methodology): “A program developed by Leuven and Sianesi (2003), psmatch2, can be installed in Stata and used to implement PSM.”
R&D support programs in developing countries: The Turkish experience (2008, methodology): “5 For this purpose, we used the “psmatch2” program written by Leuven and Sianesi (2003). 6 Projects supported by TTGV last for a maximum of two years, whereas the loan cannot exceed 50 percent of the project budget.”
Do U.S. firms hold more cash than foreign firms do (2016, methodology): “6 To be specific, in Stata, we use the PSMATCH2 command from Leuven and Sianesi (2003) to construct our matches.”