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


  • Adrian Mander


  • David Clayton

    () (MRC Biostatistics Unit)


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.

Suggested Citation

  • Adrian Mander & David Clayton, 1999. "HOTDECK: Stata module to impute missing values using the hotdeck method," Statistical Software Components S366901, Boston College Department of Economics, revised 02 Sep 2007.
  • Handle: RePEc:boc:bocode:s366901
    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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    data management; imputation; missing values;


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