Nonparametric evaluation of matching noise

Pier Luigi Conti (), Daniela Marella () and Mauro Scanu ()
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Pier Luigi Conti: Università di Roma “La Sapienza”
Mauro Scanu: Istituto Nazionale di Statistica

A chapter in Compstat 2006 - Proceedings in Computational Statistics, 2006, pp 453-460 from Springer

Abstract: Abstract In this paper, the difference between the data generating process and the imputation procedures used in statistical matching is evaluated. The investigated imputation procedures are the distance hot deck and those referring to the kNN method, both with fixed and variable number of donors k. The matching noise is evaluated formally and investigated via a simulation.

Keywords: kNN method; conditional independence assumption; hot deck (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1709-6_36

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DOI: 10.1007/978-3-7908-1709-6_36

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