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RECAP: Stata module to perform capture-recapture analysis for three sources with Goodness-of-Fit based confidence intervals

Author

Listed:
  • Matthias an der Heiden

Programming Language

Stata

Abstract

the principle of the capture-recapture method is that by comparing cases in three overlapping data sources, the number of unascertained cases can be estimated. The validity of the estimate relies on 3 basic assumptions: cases must be accurately matched, study population is closed and the individuals have equal catchability. To take into account all possible two-way interactions (dependencies) between the data sources and correct for these, log-linear models were fitted to the observed cases producing a maximum likelihood estimate for unascertained cases. The model fit can be evaluated by comparing p-values and/or the Akaike Information Criterion (AIC).

Suggested Citation

  • Matthias an der Heiden, 2007. "RECAP: Stata module to perform capture-recapture analysis for three sources with Goodness-of-Fit based confidence intervals," Statistical Software Components S456859, Boston College Department of Economics, revised 07 Jul 2009.
    • Handle: RePEc:boc:bocode:s456859
    Note: This module should be installed from within Stata by typing "ssc inst recap". 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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/recap.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/recap.hlp
    File Function: help module
    Download Restriction: no
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