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Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity

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Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity. / Janke, Katharina; Lee, Kevin; Propper, Carol; Shields, Kalvinder; Michael, Shields.

Institute for Fiscal Studies, 2020. (IFS Working Paper Series; No. WP20/12).

Research output: Working paper

Harvard

Janke, K, Lee, K, Propper, C, Shields, K & Michael, S 2020 'Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity' IFS Working Paper Series, no. WP20/12, Institute for Fiscal Studies. https://doi.org/10.1920/wp.ifs.2020.1220

APA

Janke, K., Lee, K., Propper, C., Shields, K., & Michael, S. (2020). Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity. (IFS Working Paper Series; No. WP20/12). Institute for Fiscal Studies. https://doi.org/10.1920/wp.ifs.2020.1220

Vancouver

Janke K, Lee K, Propper C, Shields K, Michael S. Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity. Institute for Fiscal Studies. 2020 Apr 14. (IFS Working Paper Series; WP20/12). https://doi.org/10.1920/wp.ifs.2020.1220

Author

Janke, Katharina ; Lee, Kevin ; Propper, Carol ; Shields, Kalvinder ; Michael, Shields. / Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity. Institute for Fiscal Studies, 2020. (IFS Working Paper Series; WP20/12).

Bibtex

@techreport{8b85fc7bae8a45c1b282bd33a9f97ed3,
title = "Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity",
abstract = "We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions for those of working age over the period 2002-2016. We find strong and robust counter-cyclical relationships for overall chronic health, and for five broad types of health conditions. Chronic health conditions therefore increase in poor economic times. There is considerable spatial heterogeneity across local areas, with the counter-cyclical relationship being strongest in poorer local areas with more traditional industrial structures. We find that feedback effects are important across local areas and dynamic effects that differ by health condition. Consequently, the standard panel data model commonly used in the literature considerably under-estimates the extent of the counter-cyclical relationship in the British context.",
author = "Katharina Janke and Kevin Lee and Carol Propper and Kalvinder Shields and Shields Michael",
year = "2020",
month = apr
day = "14",
doi = "10.1920/wp.ifs.2020.1220",
language = "English",
volume = "WP20/12",
series = "IFS Working Paper Series",
publisher = "Institute for Fiscal Studies",
number = "WP20/12",
type = "WorkingPaper",
institution = "Institute for Fiscal Studies",

}

RIS

TY - UNPB

T1 - Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity

AU - Janke, Katharina

AU - Lee, Kevin

AU - Propper, Carol

AU - Shields, Kalvinder

AU - Michael, Shields

PY - 2020/4/14

Y1 - 2020/4/14

N2 - We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions for those of working age over the period 2002-2016. We find strong and robust counter-cyclical relationships for overall chronic health, and for five broad types of health conditions. Chronic health conditions therefore increase in poor economic times. There is considerable spatial heterogeneity across local areas, with the counter-cyclical relationship being strongest in poorer local areas with more traditional industrial structures. We find that feedback effects are important across local areas and dynamic effects that differ by health condition. Consequently, the standard panel data model commonly used in the literature considerably under-estimates the extent of the counter-cyclical relationship in the British context.

AB - We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions for those of working age over the period 2002-2016. We find strong and robust counter-cyclical relationships for overall chronic health, and for five broad types of health conditions. Chronic health conditions therefore increase in poor economic times. There is considerable spatial heterogeneity across local areas, with the counter-cyclical relationship being strongest in poorer local areas with more traditional industrial structures. We find that feedback effects are important across local areas and dynamic effects that differ by health condition. Consequently, the standard panel data model commonly used in the literature considerably under-estimates the extent of the counter-cyclical relationship in the British context.

U2 - 10.1920/wp.ifs.2020.1220

DO - 10.1920/wp.ifs.2020.1220

M3 - Working paper

VL - WP20/12

T3 - IFS Working Paper Series

BT - Macroeconomic conditions and health in Britain: aggregation, dynamics and local area heterogeneity

PB - Institute for Fiscal Studies

ER -