Key Equations in the Tuljapurkar-Lee Model of the Social Security System.
dc.contributor.author | Edwards, Ryan D. | |
dc.contributor.author | Lee, Ronald D. | |
dc.contributor.author | Anderson, Michael W. | |
dc.contributor.author | Boe, Carl | |
dc.date.accessioned | 2007-04-25T19:23:33Z | |
dc.date.available | 2007-04-25T19:23:33Z | |
dc.date.issued | 2003-03 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/50575 | |
dc.description.abstract | The Tuljapurkar-Lee (henceforth \TL") model generates a large set of Monte Carlo simulations of future outcomes in the U.S. Social Security system. Four types of key macrodemographic and macroeconomic variables are modeled as stochastic components using standard time series methods. These include age-speci c mortality rates, age-speci c fertility rates, the rate of growth in real covered wages per capita, and real rates of return on two classes of nancial assets: the special-issue Treasury obligations in the Social Security Trust Fund, and the S&P 500 stock index. This paper is a revision of the technical appendix in Lee and Edwards (2002), updated to reect the modeling techniques employed during the latest round of revision to the TL model. | en |
dc.description.sponsorship | Social Security Administration | en |
dc.format.extent | 212976 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en |
dc.publisher | Michigan Retirement Research Center, University of Michigan, P.O. Box 1248, Ann Arbor, MI 48104 | en |
dc.relation.ispartofseries | WP 2003-044 | en |
dc.title | Key Equations in the Tuljapurkar-Lee Model of the Social Security System. | en |
dc.type | Working Paper | en |
dc.subject.hlbsecondlevel | Population and Demography | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.contributor.affiliationother | University of California at Berkeley | en |
dc.contributor.affiliationother | Stanford University | en |
dc.contributor.affiliationumcampus | Ann Arbor | en |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/50575/1/wp044.pdf | en_US |
dc.owningcollname | Retirement and Disability Research Center, Michigan (MRDRC) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.