Abstract

 
 

References (11)



 
 

Citations (17)



 


 



Intergenerational Risk Sharing in the Spirit of Arrow, Debreu, and Rawls, with Applications to Social Security Design


Laurence Ball


Johns Hopkins University - Department of Economics; National Bureau of Economic Research (NBER)

N. Gregory Mankiw


Harvard University - Department of Economics; National Bureau of Economic Research (NBER)

May 2001

NBER Working Paper No. w8270

Abstract:     
This paper examines the optimal allocation of risk in an overlapping-generations economy. It compares the allocation of risk the economy reaches naturally to the allocation that would be reached if generations behind a Rawlsian 'veil of ignorance' could share risk with one another through complete Arrow-Debreu contingent-claims markets. The paper then examines how the government might implement optimal intergenerational risk sharing with a social security system. One conclusion is that the system must either hold equity claims to capital or negatively index benefits to equity returns.

Number of Pages in PDF File: 42

working papers series


Download This Paper

Date posted: May 5, 2001  

Suggested Citation

Ball, Laurence M. and Mankiw, N. Gregory, Intergenerational Risk Sharing in the Spirit of Arrow, Debreu, and Rawls, with Applications to Social Security Design (May 2001). NBER Working Paper No. w8270. Available at SSRN: http://ssrn.com/abstract=268879

Contact Information

Laurence M. Ball (Contact Author)
Johns Hopkins University - Department of Economics ( email )
3400 Charles Street
Baltimore, MD 21218-2685
United States
410-516-7605 (Phone)
410-516-7600 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
410-516-7605 (Phone)
410-516-7600 (Fax)
N. Gregory Mankiw
Harvard University - Department of Economics ( email )
Littauer Center
Room 223
Cambridge, MA 02138
United States
617-495-4301 (Phone)
617-495-7730 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 1,443
Downloads: 37
References:  11
Citations:  17

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo5 in 0.735 seconds