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Victim Characteristics and White Collar Crime: Data from the 2005 National Public Survey on White Collar Crime |
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Abstract:
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This paper will utilize data from the 2005 National Public Survey on White Collar Crime (a revisiting of the 2000 National Public Survey on White Collar Crime conducted by NW3C), a randomized sample of over 1,600 U.S. adults. Information collected spans victimization instances, risk behaviors, perceptions of crime seriousness, and general demographic information. Using regression analyses, the current paper will focus upon victim demographics, particularly, exploring the nexus between these characteristics and victimization by specific crime types (e.g., credit card fraud, Internet money loss, unnecessary home repairs). Trends will be compared aggregately and across victimization types. |
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Association:
Name: American Society of Criminology (ASC) URL: http://www.asc41.com
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Citation:
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MLA Citation:
| Wall, April. and Kane, John. "Victim Characteristics and White Collar Crime: Data from the 2005 National Public Survey on White Collar Crime" Paper presented at the annual meeting of the American Society of Criminology (ASC), Los Angeles Convention Center, Los Angeles, CA, Nov 01, 2006 <Not Available>. 2008-10-09 <http://www.allacademic.com/meta/p126665_index.html> |
APA Citation:
| Wall, A. and Kane, J. , 2006-11-01 "Victim Characteristics and White Collar Crime: Data from the 2005 National Public Survey on White Collar Crime" Paper presented at the annual meeting of the American Society of Criminology (ASC), Los Angeles Convention Center, Los Angeles, CA <Not Available>. 2008-10-09 from http://www.allacademic.com/meta/p126665_index.html |
Publication Type: Conference Paper/Unpublished Manuscript Abstract: This paper will utilize data from the 2005 National Public Survey on White Collar Crime (a revisiting of the 2000 National Public Survey on White Collar Crime conducted by NW3C), a randomized sample of over 1,600 U.S. adults. Information collected spans victimization instances, risk behaviors, perceptions of crime seriousness, and general demographic information. Using regression analyses, the current paper will focus upon victim demographics, particularly, exploring the nexus between these characteristics and victimization by specific crime types (e.g., credit card fraud, Internet money loss, unnecessary home repairs). Trends will be compared aggregately and across victimization types. |
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