Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model

dc.creatorCruyff, Maarten J. L. F.
dc.creatorBöckenholt, Ulf
dc.creatorHout, Ardo van den
dc.creatorvan der Heijden, Peter G. M.
dc.date2008-03-27
dc.date.accessioned2026-07-07T12:17:54Z
dc.date.available2026-07-07T12:17:54Z
dc.descriptionIn 2004 the Dutch Department of Social Affairs conducted a survey to assess the extent of noncompliance with social security regulations. The survey was conducted among 870 recipients of social security benefits and included a series of sensitive questions about regulatory noncompliance. Due to the sensitive nature of the questions the randomized response design was used. Although randomized response protects the privacy of the respondent, it is unlikely that all respondents followed the design. In this paper we introduce a model that allows for respondents displaying self-protective response behavior by consistently giving the nonincriminating response, irrespective of the outcome of the randomizing device. The dependent variable denoting the total number of incriminating responses is assumed to be generated by the application of randomized response to a latent Poisson variable denoting the true number of rule violations. Since self-protective responses result in an excess of observed zeros in relation to the Poisson randomized response distribution, these are modeled as observed zero-inflation. The model includes predictors of the Poisson parameters, as well as predictors of the probability of self-protective response behavior.
dc.descriptionPublished in at http://dx.doi.org/10.1214/07-AOAS135 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0803.3891
dc.identifierhttp://arxiv.org/abs/0803.3891
dc.identifierAnnals of Applied Statistics 2008, Vol. 2, No. 1, 316-331
dc.identifierdoi:10.1214/07-AOAS135
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212232
dc.subjectApplications
dc.titleAccounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model
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