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

Matthias an der Heiden ()

Statistical Software Components from Boston College Department of Economics

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).

Language: Stata
Requires: Stata version 9
Keywords: capture; recapture; goodness of fit; interactions (search for similar items in EconPapers)
Date: 2007-08-03, Revised 2009-07-07
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.
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http://fmwww.bc.edu/repec/bocode/r/recap.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/recap.hlp help module (text/plain)

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