Identity matching and information acquisition: Estimation of optimal threshold parameters

Identity matching and information acquisition: Estimation of optimal threshold parameters

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Article ID: iaor20141877
Volume: 57
Start Page Number: 160
End Page Number: 171
Publication Date: Jan 2014
Journal: Decision Support Systems
Authors: , , , ,
Keywords: decision, information, optimization, programming: nonlinear
Abstract:

  • We analyze statistical challenges of calibrating matching software through sampling.
  • We address this gap in the literature through an in‐depth analysis of various estimators.
  • Our analysis reveals that the Cost‐Based estimator exhibits the ‘best’ performance.
  • We report the effects of nonlinearity and nonmonotonicity on the convergence rates.
  • With large samples, convergence rates are faster than basic population mean estimator.

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