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RRLOGIT: Stata module to estimate logistic regression for randomized response data

Author

Listed:
  • Ben Jann

    (University of Bern)

Programming Language

Stata

Abstract

rrlogit fits a maximum-likelihood logistic regression for randomized response data.

Suggested Citation

  • Ben Jann, 2005. "RRLOGIT: Stata module to estimate logistic regression for randomized response data," Statistical Software Components S456203, Boston College Department of Economics, revised 12 May 2011.
    • Handle: RePEc:boc:bocode:s456203
    Note: This module should be installed from within Stata by typing "ssc install rrlogit". 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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/rrlogit.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rrlogit.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rrlogit_lf.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rrlogit_p.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rrlogit_postestimation.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/rrlogit.zip
    File Function: zip file of package
    Download Restriction: no
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    Citations

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    Cited by:

    1. Kundt, Thorben, 2014. "Applying “Benford’s law” to the Crosswise Model: Findings from an online survey on tax evasion," Working Paper 148/2014, Helmut Schmidt University, Hamburg.
    2. Marc Höglinger & Ben Jann & Andreas Diekmann, 2014. "Online Survey on "Exams and Written Papers". Documentation," University of Bern Social Sciences Working Papers 8, University of Bern, Department of Social Sciences, revised 06 Oct 2014.

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