PSACALC: Stata module to calculate treatment effects and relative degree of selection under proportional selection of observables and unobservables
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.
|Requires:||Stata version 12|
|Date of creation:||10 Aug 2013|
|Date of revision:||18 Dec 2016|
|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|
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s457677. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If references are entirely missing, you can add them using this form.