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

Statistics – Applications

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Published in at http://dx.doi.org/10.1214/07-AOAS135 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/07-AOAS135

In 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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-353801

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.