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PSACALC: Stata module to calculate treatment effects and relative degree of selection under proportional selection of observables and unobservables

Listed author(s):
  • Emily Oster

    ()

    (Brown University)

Registered author(s):

psacalc is performed after linear models to evaluate the possible degree of omitted variable bias under the assumption that the selection on the observed controls is proportional to the selection on the unobserved controls. Details of the calculation and theory are in Oster (2016), JBES, Forthcoming. The command requires the user to identify an independent variable of interest from the regression. The command calculates (1) a value of the relative degree of selection to match a given treatment effect or (2) a value of the treatment effect given a relative degree of selection. Options are given to specify a maximum R-squared in absence of measurement error and a set of observable controls not informative about the observables.

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File URL: http://fmwww.bc.edu/repec/bocode/p/psacalc.ado
File Function: program code
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/p/psacalc.sthlp
File Function: help file
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/p/psacalci.ado
File Function: program code
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/p/psacalci.sthlp
File Function: help file
Download Restriction: no

File URL: http://fmwww.bc.edu/repec/bocode/s/selection.pdf
File Function: documentation
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Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457677.

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Programming language: Stata
Requires: Stata version 12
Date of creation: 10 Aug 2013
Date of revision: 18 Dec 2016
Handle: RePEc:boc:bocode:s457677
Note: This module should be installed from within Stata by typing "ssc install psacalc". 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
Web page: http://fmwww.bc.edu/EC/
Email:


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