WHOTDECK: Stata module to perform multiple imputation using the Approximate Bayesian Bootstrap with weights

Adrian Mander ()

Statistical Software Components from Boston College Department of Economics

Abstract: whotdeck will tabulate the missing data patterns within the varlist. A row of data with missing values in any of the variables in the varlist is defined as a `missing line' of data, similarly a `complete line' is one where all the variables in the varlist contain data. The whotdeck procedure replaces the varlist variables in the `missing lines' with the corresponding values in the `complete lines'. whotdeck should be used several times within a multiple imputation sequence since missing data are imputed stochastically, with weights determined by a logistic regression model of the missing data process, rather than deterministically.

Language: Stata
Requires: Stata version 6.0
Keywords: data manipulation; multiple imputation; Bayesian bootstrap (search for similar items in EconPapers)
Date: 2003-06-15, Revised 2011-02-21
Note: This module may be installed from within Stata by typing "ssc install whotdeck". 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.
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Citations: View citations in EconPapers (1)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/w/whotdeck.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/w/whotdeck.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/w/whotdeck.pdf supporting documentation (text/plain)

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