DOSERESPONSE2: Stata module to estimate generalized propensity score
Marco Ventura and
Barbara Guardabascio
Statistical Software Components from Boston College Department of Economics
Abstract:
doseresponse2 estimates the generalized propensity score (GPS) by GLM, allowing six different distribution functions: binomial, gamma, inverse gaussian, negative binomial, normal and poisson coupled with admissible links; tests the balancing property by calling the routine gpscore2. For the normal case assesses the validity of the assumed normal distribution model by a user-specified goodness-of-fit test. Then it estimates the conditional expectation of the outcome given the observed treatment and the estimated GPS by calling the routine doseresponse_model. Finally, doseresponse2 estimates the average potential outcome for each level of the treatment in which the user is interested.
Language: Stata
Requires: Stata version 10 and gpscore2 from SSC (q.v.)
Keywords: propensity score; generalized linear models; dose-response function (search for similar items in EconPapers)
Date: 2013-07-03
Note: This module should be installed from within Stata by typing "ssc install doseresponse2". 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.
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Citations:
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/d/doseresponse2.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/doseresponse2.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/doseresponse_model.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/doseresponse_model.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/LotteryDataSet.dta sample data file (application/x-stata)
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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457664
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