PSTRATA: Stata module for optimal propensity score stratification

Ariel Linden

Statistical Software Components from Boston College Department of Economics

Abstract: pstrata stratifies the propensity score into strata (quantile-based bins) chosen so that, within each stratum, the treatment groups are balanced on the propensity score. In general, stratification (also referred to as subclassification) allows the investigator to analyze outcomes between treatment groups within each stratum as well as to observe overall differences between groups across all strata (Linden & Adams 2008). It has been shown that stratification of the propensity score into five quantiles can remove over 90% of the initial bias due to the covariates used to create the propensity score (Cochran 1968; Rosenbaum & Rubin 1984). While the strata generated by pstrata can be used in any subsequent analysis, it was specifically intended for use in conjunction with mmws; which can be downloaded from SSC. Before using pstrata, the propensity score for a given treatment must be estimated. A logit or probit regression model can be used for estimating the propensity score for a binary treatment and a multinomial logistic or probit regression can be used for estimating propensity scores for multiple treatment levels. pstrata then generates one or more strata variables (named strata1, strata2, etc.), depending on the number of treatment groups in the study.

Language: Stata
Requires: Stata version 11
Keywords: propensity score; stratification; weighting; marginal mean weighting; causal inference (search for similar items in EconPapers)
Date: 2016-09-02, Revised 2026-09-13
Note: This module should be installed from within Stata by typing "ssc install pstrata". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/pstrata.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pstrata.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458232

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().