The effect of subjective survival probabilities on retirement and wealth in the united states

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The effect of subjective survival probabiliti ...
David E. Bloom
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December 17, 2020 | History

The effect of subjective survival probabilities on retirement and wealth in the united states

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"We explore the proposition that expected longevity affects retirement decisions and accumulated wealth using micro data drawn from the Health and Retirement Study for the United States. We use data on a person's subjective probability of survival to age 75 as a proxy for their prospective lifespan. In order to control for the presence of measurement error and focal points in responses, as well as reverse causality, we instrument subjective survival probabilities using information on current age, or age at death, of the respondent's parents. Our estimates indicate that increased subjective probabilities of survival result in increased household wealth among couples, with no effect on the length of the working life. These findings are consistent with the view that retirement decisions are driven by institutional constraints and incentives and that a longer expected lifespan leads to increased wealth accumulation"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Cover of: The effect of subjective survival probabilities on retirement and wealth in the united states
The effect of subjective survival probabilities on retirement and wealth in the united states
2006, National Bureau of Economic Research
electronic resource / in English

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Book Details


Edition Notes

Title from PDF file as viewed on 12/20/2006.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 12688, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 12688.

Classifications

Library of Congress
HB1

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL31759802M
LCCN
2006619652

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December 17, 2020 Created by MARC Bot Imported from Library of Congress MARC record