HOTDECK: Stata module to impute missing values using the hotdeck method

Adrian Paul Mander () and David Clayton ()
Additional contact information
David Clayton: MRC Biostatistics Unit

Statistical Software Components from Boston College Department of Economics

Abstract: hotdeck replaces missing values for the variable indicated by its argument. It should be used within a multiple imputation sequence since missing values are imputed stochastically rather than deterministically. The nmiss missing values in each stratum of the data described by the `by' option are replaced by values sampled from the nobs observed values in the same stratum. The approximate Bayesian bootstrap method of Rubin and Scheker is used; first a bootstrap sample of nobs observations is sampled with replacement from the observed values, and the nmiss missing values are sampled at random (again with replacement) from this bootstrap sample. If a file is specified in a using clause, the modified file is written to disk and the existing data in memory are unchanged. Otherwise the data in memory are modified. This is version 1.65 of the software, requiring Stata v9. hotdeck6 may be used in earlier versions of Stata.

Language: Stata
Requires: Stata version 9.0 (6.0 for hotdeck6)
Keywords: data management; imputation; missing values (search for similar items in EconPapers)
Date: 1999-01-18, Revised 2007-09-02
Note: This module may be installed from within Stata by typing "ssc install hotdeck". Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/h/hotdeck.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hotdeck.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hotdeck6.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hotdeck6.hlp help file (text/plain)

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