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Social Indicators Research

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13-10-2015

Estimating Induced Abortion and Foreign Irregular Presence Using the Randomized Response Crossed Model

Authors: Pier Francesco Perri, Elvira Pelle, Manuela Stranges

Published in: Social Indicators Research | Issue 2/2016

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Abstract

We present the theoretical framework and the results of a pilot survey conducted in Calabria, a region in the south of Italy, to investigate the prevalence of two sensitive characteristics, namely induced abortion among foreign women residing in this region, and irregular immigrant status. Collecting data on these two attributes by means of traditional survey modes typically produces underestimates of the diffusion of the phenomena due to the stigmatizing nature of the investigated topics. In order to overcome this problem, we employ an alternative data collection method known as the Randomized Response Technique. In particular, we focus on the implementation of the crossed model recently proposed by Lee et al. (Stat Probab Lett 83:399–409, 2013) to estimate two sensitive characteristics and some related measures of association.

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Title: Estimating Induced Abortion and Foreign Irregular Presence Using the Randomized Response Crossed Model
Authors: Pier Francesco Perri
Elvira Pelle
Manuela Stranges
Publication date: 13-10-2015
Publisher: Springer Netherlands
Published in: Social Indicators Research / Issue 2/2016
Print ISSN: 0303-8300
Electronic ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-015-1136-x

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