An edition of Nominal versus indexed debt (2007)

Nominal versus indexed debt

a quantitative horse race

Nominal versus indexed debt
Laura Alfaro, Laura Alfaro
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Last edited by MARC Bot
December 19, 2020 | History
An edition of Nominal versus indexed debt (2007)

Nominal versus indexed debt

a quantitative horse race

"The main arguments in favor and against nominal and indexed debt are the incentive to default through inflation versus hedging against unforeseen shocks. We model and calibrate these arguments to assess their quantitative importance. We use a dynamic equilibrium model with tax distortion, government outlays uncertainty, and contingent-debt service. Our framework also recognizes that contingent debt can be associated with incentive problems and lack of commitment. Thus, the benefits of unexpected inflation are tempered by higher interest rates. We obtain that costs from inflation more than offset the benefits from reducing tax distortions. We further discuss sustainability of nominal debt in developing (volatile) countries"--National Bureau of Economic Research web site.

Publish Date
Language
English

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Edition Availability
Cover of: Nominal versus indexed debt
Nominal versus indexed debt: a quantitative horse race
2007, National Bureau of Economic Research
in English
Cover of: Nominal versus indexed debt
Nominal versus indexed debt: a quantitative horse race
2007, National Bureau of Economic Research
electronic resource : in English

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Book Details


Edition Notes

Title from PDF file as viewed on 7/19/2007.

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 13131, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 13131.

Classifications

Library of Congress
HB1

The Physical Object

Format
[electronic resource] :

ID Numbers

Open Library
OL31800307M
LCCN
2007616285

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