Macroeconomic Conditions and Health in Britain: Aggregation, Dynamics and Local Area Heterogeneity

Carol Propper, Katharina Janke (), Kevin Lee (), Kalvinder Shields and Michael Shields

No 14507, CEPR Discussion Papers from C.E.P.R. Discussion Papers

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 quantitatively 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 our context.

Keywords: Macroeconomic conditions; Health; Morbidity; Dynamics; Heterogeneity; Aggregation (search for similar items in EconPapers)
JEL-codes: C33 E32 J10 J21 (search for similar items in EconPapers)
Date: 2020-03
New Economics Papers: this item is included in nep-hea, nep-mac and nep-ure
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Citations: View citations in EconPapers (11)

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Working Paper: Macroeconomic Conditions and Health in Britain: Aggregation, Dynamics and Local Area Heterogeneity (2020)
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