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Mortality and the Business Cycle: Evidence from Individual and Aggregated Data

Gerard van den Berg, Ulf-G. Gerdtham, Stephanie von Hinke, Maarten Lindeboom (), Johannes Lissdaniels (), Jan Sundquist () and Kristina Sundquist ()
Additional contact information
Johannes Lissdaniels: Department of Clinical Science, Lund University
Jan Sundquist: Center for Primary Health Care Research, Lund University
Kristina Sundquist: Center for Primary Health Care Research, Lund University

No 2017:5, Working Papers from Lund University, Department of Economics

Abstract: There has been much interest recently in the relationship between economic conditions and mortality, with some studies showing that mortality is pro-cyclical, while others find the opposite. Some suggest that the aggregation level of analysis (e.g. individual vs. regional) matters. We use both individual and aggregated data on a sample of 20-64 year-old Swedish men from 1993 to 2007. Our results show that the association between the business cycle and mortality does not depend on the level of analysis: the sign and magnitude of the parameter estimates are similar at the individual level and the aggregate (county) level; both showing pro-cyclical mortality.

Keywords: Mortality; Recessions; Business Cycle; Health; Unemployment; Income. (search for similar items in EconPapers)
JEL-codes: E03 I10 I12 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2017-03-07
New Economics Papers: this item is included in nep-bec, nep-hea and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)

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http://project.nek.lu.se/publications/workpap/papers/wp17_5.pdf (application/pdf)

Related works:
Journal Article: Mortality and the business cycle: Evidence from individual and aggregated data (2017) Downloads
Working Paper: Mortality and the business cycle: Evidence from individual and aggregated data (2017) Downloads
Working Paper: Mortality and the Business Cycle: Evidence from Individual and Aggregated Data (2017) Downloads
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