Estimating the Causal Impact of Macroeconomic Conditions on Income-Related Mortality

Summary, in English

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.

• Author: Ulf-Göran Gerdtham; Gawain Heckley; Johannes Lissdaniels
• Department/s: Centre for Economic Demography; Health Economics; Department of Economics; EpiHealth: Epidemiology for Health
• Publishing year: 2020-11-09
• Language: English
• Publication/Series: Working papers
• Issue: 2020:22
• Links: https://swopec.hhs.se/lunewp/abs/lunewp2020_022.htm
• Document type: Working paper
• Topic: Economics
• Keywords: Mortality; Macroeconomic conditions; Unemployment; Recentered influence function; Inequality; Concentration index; E32; I14
• Status: Published
• Research group: Health Economics