Ulf-G. Gerdtham (ulf.gerdtham@nek.lu.se), Gawain Heckley (gawain.heckley@med.lu.se) and Johannes Lissdaniels (johannes.lissdaniels@med.lu.se)
Additional contact information
Ulf-G. Gerdtham: Department of Economics, Lund University, Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund, Sweden
Gawain Heckley: Health Economics Unit, Department of Clinical Sciences (Malmö), Lund University, Sweden
Johannes Lissdaniels: Health Economics Unit, Department of Clinical Sciences (Malmö), Lund University, Sweden
Abstract: To-date the macroeconomic conditions-mortality literature on income-related inequality in mortality has relied on subgroup analysis, mainly using income as a stratification variable, but this nearly always causes selection bias yielding results that are hard to interpret. To solve this bad control problem, we apply a novel technique based on recentered influence function regression of overall income-related mortality measures, like the commonly used concentration index. We also highlight the importance of: i) measurement of relative versus absolute inequality; ii) measurement of inequality by population-level statistics of inequality (concentration indices) versus subgroup analysis; iii) measurement of short versus long-term income. We illustrate these issues and our suggested solution using detailed individual-level administrative data from Sweden. Our findings show that there overall is a (insignificant) counter-cyclical impact on mortality and its income-related inequality. During a sub-period of pronounced and significant counter-cyclical mortality we find support for accompanying counter-cyclical income-related inequality, but only when using short-term income.
Keywords: Mortality; Macroeconomic conditions; Unemployment; Recentered influence function; Inequality; Concentration index.
29 pages, November 9, 2020
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