A Systematic Analysis of Product Counterfeiting Schemes, Offenders, and Victims, 43 states and 42 countries, 2000-2015

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for...

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Bibliographic Details
Main Author: Sullivan, Brandon A. (Author)
Format: Electronic Research Data
Language:English
Published: [Erscheinungsort nicht ermittelbar] [Verlag nicht ermittelbar] 2019
In:Year: 2019
Online Access: Volltext (kostenfrei)
Check availability: HBZ Gateway
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Summary:These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Product counterfeiting is the fraudulent reproduction of trademark, copyright, or other intellectual property related to tangible products without the authorization of the producer and motivated by the desire for profit. This study create a Product Counterfeiting Database (PCD) by assessing multiple units of analysis associated with counterfeiting crimes from 2000-2015: (1) scheme; (2) offender (individual); (3) offender (business); (4) victim (consumer); and (5) victim (trademark owner). Unique identification numbers link records for each unit of analysis in a relational database. The collection contains 5 Stata files and 1 Excel spreadsheet file. <ul> <li>Scheme-Data.dta (n=196, 35 variables)</li> <li>Offender-Individual-Data.dta (n=551, 16 variables)</li> <li>Offender-Business-Data.dta (n=310, 5 variables)</li> <li>Victim-Consumer-Data.dta (n=54, 8 variables)</li> <li>Victim-Trademark-Owner-Data.dta (n=146, 5 variables)</li> <li>Relational-Data.xlsx (4 spreadsheet tabs)</li> </ul>
DOI:10.3886/ICPSR37177.v2