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

Author

Listed:
  • Adrian Mander

Programming Language

Stata

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.

Suggested Citation

  • Adrian Mander, 2003. "WHOTDECK: Stata module to perform multiple imputation using the Approximate Bayesian Bootstrap with weights," Statistical Software Components S433201, Boston College Department of Economics, revised 21 Feb 2011.
    • Handle: RePEc:boc:bocode:s433201
    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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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/w/whotdeck.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/w/whotdeck.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/w/whotdeck.pdf
    File Function: supporting documentation
    Download Restriction: no
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    Citations

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    Cited by:

    1. Christian Seiler, 2013. "Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52.

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