DIVRATIO: Stata module for estimating diversion ratios and willingness-to-pay from a semiparametric choice model

Chris Lau ()
Additional contact information
Chris Lau: US Federal Trade Commission

Statistical Software Components from Boston College Department of Economics

Abstract: divratio estimates diversion ratios and willingness-to-pay metrics using the semiparametric choice model presented in Raval, Rosenbuam, and Tenn (2017).

Language: Stata
Requires: Stata version 14.2
Keywords: diversion ratio; willingness-to-pay; choice model (search for similar items in EconPapers)
Date: 2023-01-12
Note: This module should be installed from within Stata by typing "ssc install divratio". 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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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/d/divratio.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/divratio.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sim_data.dta supplementary data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/d/divratio_template.do sample do-file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/divratio_documentation.pdf documentation (application/pdf)
http://fmwww.bc.edu/repec/bocode/c/create)sim_data.R sample data creation (text/plain)
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