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Title:Analyse von Steueramnestiedaten PDF Logo
Authors:Haug, Michael
Hölscher, Luise
Schweinberger, Andreas
Issue Date:2008
Series/Report no.:Working paper series // Frankfurt School of Finance & Management 99
Abstract:Tax fraud is a serious problem for fiscal authorities worldwide, not only in countries regarded as hightax like Germany. Besides longterm tax reforms, tax amnesties are used to bring back taxable amounts into the legal sector. The German tax amnesty of 2004/2005 was one of the last examples in Europe and was - like other tax amnesties before - of limited success. This paper uses a given database with 126 tax amnesties between 1981 and 2005 in several countries worldwide. Aim is to develope predictions about the fiscal success or failure of a tax amnesty, depending on its structure and legal plus economic background.
Subjects:Steuerhinterziehung
Steueramnestie
lineare Regression
Tax fraud
Tax amnesty
linear regression
JEL:H26
K42
Persistent Identifier of the first edition:urn:nbn:de:101:1-2008100610
Document Type:Working Paper
Appears in Collections:Frankfurt School - Working Paper Series, Frankfurt School of Finance and Management

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