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http://hdl.handle.net/10419/27869
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| Title: | | Analyse von Steueramnestiedaten  |
| 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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