White-collar crime in the shadow economy : lack of detection, investigation and conviction compared to social security fraud / Petter Gottschalk, Lars Gunnesdal.

Title

White-collar crime in the shadow economy : lack of detection, investigation and conviction compared to social security fraud / Petter Gottschalk, Lars Gunnesdal.

Description

Title from PDF of title page (viewed, June 26, 2019)
This open access book examines the magnitude, causes of, and reactions to white-collar crime, based on the theories and research of those who have uncovered various forms of white-collar crime. It argues that the offenders who are convicted represent only ‘the tip of the iceberg’ of a much greater problem: because white-collar crime is forced to compete with other kinds of financial crime like social security fraud for police resources and so receives less attention and fewer investigations. Gottschalk and Gunnesdal also offer insights into estimation techniques for the shadow economy, in an attempt to comprehend the size of the problem. Holding broad appeal for academics, practitioners in public administration, and government agencies, this innovative study serves as a timely starting point for examining the lack of investigation, detection, and conviction of powerful white-collar criminals.

Publisher

Palgrave Macmillan,

Date

Contributor

Gunnesdal, Lars.
SpringerLink (Online service)

Format

1 online resource (xvi, 155 p.) : ill. (black and white)

Language

eng

Type

a

Access Rights

Publisher's Web site. Access restricted to the University of Catania community.

DOI

10.1007/978-3-319-75292-1 doi

ISBN

9783319752914 (hbk.) :
9783319752921 (PDF ebook)
9783319752914 (hbk.) : £44.99

Series

Palgrave pivot
Palgrave pivot.

Files

2018_Book_White-CollarCrimeInTheShadowEc.pdf

Citation

Gottschalk, Petter, 1950-, “White-collar crime in the shadow economy : lack of detection, investigation and conviction compared to social security fraud / Petter Gottschalk, Lars Gunnesdal.,” Lex e-books - Collana, accessed November 10, 2024, https://epub.unict.it/omeka/items/show/309.