David T. Robinson () (Duke University's Fuqua School of Business) Dan Blanchette () (Center of Entrepreneurship and Innovation, Duke University's Fuqua School of Business)
Additional information is available for the following
registered author(s):
rii is a prefix command that runs multiple imputations of a model based on the value of the multiple imputation variable. rii has been tested on probit, tobit, cnreg, and regress. rii uses the repeated-imputation inference (RII) technique to derive OLS regression coefficients, estimates of the standard error of the coefficients, test statistics for individual coefficients and a model test statistic. RII is based on Bayesian theory, and is applicable to linear and nonlinear models, and to models estimated by both least squares and maximum likelihood. The RII technique incorporates the variability in the data due to missing data into the estimate of the standard error of the mean.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number
S457050.
Size: Programming language: Stata Requires: Stata version 9.2 Date of creation: 02 Jun 2009 Date of revision:
19 Oct 2009 Handle: RePEc:boc:bocode:s457050
Note: This module may be installed from within Stata by typing "ssc install rii". 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