Modelling Illegal Drug Participation
dc.contributor.author | Brown, S | |
dc.contributor.author | Harris, M | |
dc.contributor.author | Srivastava, P | |
dc.contributor.author | Zhang, X | |
dc.date.accessioned | 2019-02-28T15:08:22Z | |
dc.date.issued | 2016-11-14 | |
dc.description.abstract | We contribute to the small, but important, literature exploring the incidence and implications of misreporting in survey data. Specifically, when modelling ‘social bads’, such as illegal drug consumption, researchers are often faced with exceptionally low reported participation rates. We propose a modelling framework where firstly an individual decides whether to participate or not and, secondly, for participants there is a subsequent decision to misreport or not. We explore misreporting in the context of the consumption of a system of drugs and specify a multivariate inflated probit model. Compared with observed participation rates of 12.2%, 3.2% and 1.3% (for use of marijuana, speed and cocaine respectively) the true participation rates are estimated to be almost double for marijuana (23%), and more than double for speed (8%) and cocaine (5%). The estimated chances that a user would misreport their participation is a staggering 65% for a hard drug like cocaine, and still about 31% and 17%, for the softer drugs of marijuana and speed. | en_GB |
dc.description.sponsorship | Australian Research Council | en_GB |
dc.description.sponsorship | Bankwest Curtin Economics Centre | en_GB |
dc.identifier.citation | Vol. 181 (1), pp. 133-154 | en_GB |
dc.identifier.doi | https://doi.org/10.1111/rssa.12252| | |
dc.identifier.uri | http://hdl.handle.net/10871/36137 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.rights | © 2016 The Authors Journal of the Royal Statistical Society: Series A (Statistics in Society) Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. | en_GB |
dc.subject | Discrete data | en_GB |
dc.subject | illegal drug consumption | en_GB |
dc.subject | inflated responses | en_GB |
dc.subject | misreporting | en_GB |
dc.title | Modelling Illegal Drug Participation | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-02-28T15:08:22Z | |
dc.identifier.issn | 1467-985X | |
dc.description | This is the final version. Available from Wiley via the DOI in this record. | en_GB |
dc.identifier.journal | Journal of the Royal Statistical Society Series A: Statistics in Society | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2016-09-23 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2016-09-23 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-02-28T15:01:45Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-02-28T15:08:24Z | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2016 The Authors Journal of the Royal Statistical Society: Series A (Statistics in Society) Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.