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GSA: Stata module to perform generalized sensitivity analysis

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Author Info

  • Masataka Harada

    ()
    (University of Chicago)

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    Abstract

    gsa produces a figure for the sensitivity analysis similar to Imbens (American Economic Review, 2003). Observational studies cannot control for the bias due to the omission of unobservables. The sensitivity analysis provides a graphical benchmark about how strong assumption about unobservables researchers need to make to maintain the causal interpretation of the result. Among various sensitivity analyses, gsa often serves as the most accessible option because it minimizes the changes that researchers need to make in their models to conduct a sensitivity analysis.

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    File URL: http://fmwww.bc.edu/repec/bocode/g/gsa.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/g/gsa.hlp
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    File URL: http://fmwww.bc.edu/repec/bocode/g/gsa_pu.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/g/gsa_binpu.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/g/gsa_qoi.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/g/gsagraph.ado
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    Bibliographic Info

    Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457497.

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    Programming language: Stata
    Requires: Stata version 9
    Date of creation: 08 Aug 2012
    Date of revision:
    Handle: RePEc:boc:bocode:s457497

    Note: This module should be installed from within Stata by typing "ssc install gsa". Windows users should not attempt to download these files with a web browser.
    Contact details of provider:
    Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
    Phone: 617-552-3670
    Fax: +1-617-552-2308
    Email:
    Web page: http://fmwww.bc.edu/EC/
    More information through EDIRC

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    Web: http://repec.org/docs/ssc.php

    Related research

    Keywords: sensitivity; bias; unobservables;

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