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Designing Social Security - A Portfolio Choice Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Matsen, E.
Thogersen, O.
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Public social security systems may provide diversification of risks to individuals' life-time income. Capturing that a pay-as-you-go program (paygo) may be considered as a "quasi-asset", we study the optimal size of the social security program as well as the optimal split between a funded part and a paygo part by means of a theoretical portfolio choice approach.
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Paper provided by Norwegian School of Economics and Business Administration- in its series Papers with number
21/2001.
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Length: 24 pages
Date of creation: 2001Date of revision:
Handle: RePEc:fth:norgee:21/2001Contact details of provider: Postal: NORWEGIAN SCHOOL OF ECONOMICS AND BUSINESS ADMINISTRATION, HELLEVEIEN 30, 5035 BERGEN SANDVIKEN NORWAY. Phone: 5595 9000 Fax: 5595 9100 Email: Web page: http://www.nhh.no/ More information through EDIRC
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Keywords: SOCIAL SECURITY ; RISK ; PORTFOLIO ; Other versions of this item:
Find related papers by JEL classification: H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions D91 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Consumer Choice; Life Cycle Models and Saving G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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Other versions:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Hans Fehr & Christian Habermann, 2005.
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Marcello D'Amato & Vincenzo Galasso, 2009.
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Ennio Bilancini & Massimo D'Antoni, 2008.
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