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REPEST: Stata module to run estimations with weighted replicate samples and plausible values

Author

Listed:
  • Francesco Avvisati

    () (OECD)

  • François Keslair

    () (OECD)

Abstract

repest estimates statistics using replicate weights (balanced repeated replication or brr weights, jackknife replicate weights,...), thus accounting for complex survey designs in the estimation of sampling variances. It is specially designed to be used with the PISA, PIAAC and TALIS datasets produced by the OECD. It also allows for analyses with multiply imputed variables (plausible values); where plausible values are used, the average estimator across plausible values is reported and the imputation error is added to the variance estimator.

Suggested Citation

  • Francesco Avvisati & François Keslair, 2014. "REPEST: Stata module to run estimations with weighted replicate samples and plausible values," Statistical Software Components S457918, Boston College Department of Economics, revised 23 Mar 2017.
  • Handle: RePEc:boc:bocode:s457918
    Note: This module should be installed from within Stata by typing "ssc install repest". Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/r/repest.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/r/repest.sthlp
    File Function: help file
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    More about this item

    Keywords

    PISA; PIAAC; TALIS; OECD; plausible values; brr; jackknife;

    Statistics

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