HETOP: Stata module for estimating heteroskedastic ordered probit models with ordered frequency data

Benjamin R. Shear () and Sean F. Reardon ()
Additional contact information
Benjamin R. Shear: University of Colorado Boulder
Sean F. Reardon: Stanford University

Statistical Software Components from Boston College Department of Economics

Abstract: hetop estimates means and standard deviations of underlying normal distributions for multiple groups using heteroskedastic ordered probit models. The hetop command allows users to estimate these means and standard deviations when only data in the form of ordered frequency counts are available for each group. These ordered frequency counts arise from coarsening the underlying distributions with a common set of cutscores across groups. hetop provides the estimates in a standardized metric and can also be used to estimate homoskedastic or partially constrained heteroskedastic ordered probit models. Details of the models are described in a paper by Reardon et al. (2017) cited in the help file.

Language: Stata
Requires: Stata version 13
Keywords: ordered probit; heteroskedastic probit; frequency data (search for similar items in EconPapers)
Date: 2017-01-11, Revised 2019-07-15
Note: This module should be installed from within Stata by typing "ssc install hetop". 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. The prior version of hetop required oglm, no longer required.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/h/hetop.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hetop_lf.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hetop.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hetop-example.dta sample data file (application/x-stata)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458287

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