Nonseparable preferences and optimal social security systems

Nonseparable preferences and optimal social s ...
Borys Grochulski, Borys Grochu ...
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Last edited by MARC Bot
December 19, 2020 | History

Nonseparable preferences and optimal social security systems

"In this paper, we consider economies in which agents are privately informed about their skills, which are evolving stochastically over time. We require agents' preferences to be weakly separable between the lifetime paths of consumption and labor. However, we allow for intertemporal nonseparabilities in preferences like habit formation. We show that such nonseparabilities imply that optimal asset income taxes are necessarily retrospective in nature. We show that under weak conditions, it is possible to implement a socially optimal allocation using a social security system in which taxes on wealth are linear, and taxes/transfers are history-dependent only at retirement. The average asset income tax in this system is zero"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Edition Availability
Cover of: Nonseparable preferences and optimal social security systems
Nonseparable preferences and optimal social security systems
2007, National Bureau of Economic Research
electronic resource / in English
Cover of: Nonseparable preferences and optimal social security systems
Nonseparable preferences and optimal social security systems
2007, National Bureau of Economic Research
in English

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Book Details


Edition Notes

Title from PDF file as viewed on 9/10/2007.

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 13362, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 13362.

Classifications

Library of Congress
HB1

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL31800436M
LCCN
2007616502

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December 19, 2020 Created by MARC Bot Imported from Library of Congress MARC record