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Health dynamics, adaptation to illness and resource allocation

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Health dynamics, adaptation to illness and resource allocation. / Hauck, Katharina; Hollingsworth, Bruce.
In: Applied Economics Letters, Vol. 18, No. 16, 2011, p. 1545-1548.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Hauck K, Hollingsworth B. Health dynamics, adaptation to illness and resource allocation. Applied Economics Letters. 2011;18(16):1545-1548. doi: 10.1080/13504851.2010.548776

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Hauck, Katharina ; Hollingsworth, Bruce. / Health dynamics, adaptation to illness and resource allocation. In: Applied Economics Letters. 2011 ; Vol. 18, No. 16. pp. 1545-1548.

Bibtex

@article{d813ee2fa5614d88af5fbc51b47350bb,
title = "Health dynamics, adaptation to illness and resource allocation",
abstract = "The increased availability of panel data has made it possible to estimate and measure health dynamics for population subgroups who may have systematically different levels of dynamics. We use a straightforward hypothetical example to investigate the implications of different levels of health dynamics on health outcomes, considering in addition the effects of adaptation to illness over time. The results demonstrate implications for the assessment of health technologies.",
keywords = "health dynamics, panel data , quality-adjusted life years , adaptation , response shift",
author = "Katharina Hauck and Bruce Hollingsworth",
year = "2011",
doi = "10.1080/13504851.2010.548776",
language = "English",
volume = "18",
pages = "1545--1548",
journal = "Applied Economics Letters",
issn = "1350-4851",
publisher = "Routledge",
number = "16",

}

RIS

TY - JOUR

T1 - Health dynamics, adaptation to illness and resource allocation

AU - Hauck, Katharina

AU - Hollingsworth, Bruce

PY - 2011

Y1 - 2011

N2 - The increased availability of panel data has made it possible to estimate and measure health dynamics for population subgroups who may have systematically different levels of dynamics. We use a straightforward hypothetical example to investigate the implications of different levels of health dynamics on health outcomes, considering in addition the effects of adaptation to illness over time. The results demonstrate implications for the assessment of health technologies.

AB - The increased availability of panel data has made it possible to estimate and measure health dynamics for population subgroups who may have systematically different levels of dynamics. We use a straightforward hypothetical example to investigate the implications of different levels of health dynamics on health outcomes, considering in addition the effects of adaptation to illness over time. The results demonstrate implications for the assessment of health technologies.

KW - health dynamics

KW - panel data

KW - quality-adjusted life years

KW - adaptation

KW - response shift

U2 - 10.1080/13504851.2010.548776

DO - 10.1080/13504851.2010.548776

M3 - Journal article

VL - 18

SP - 1545

EP - 1548

JO - Applied Economics Letters

JF - Applied Economics Letters

SN - 1350-4851

IS - 16

ER -