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eMployMent relations and health inequalities: pathways and MechanisMs<br />

countries, showing negative relationships between labour market<br />

inequality and male and female hales. These r 2 values of around<br />

0.5 provide some macro-social evidence for using labour market<br />

inequalities to understand the population health impact of<br />

employment relations at the national level.<br />

in conclusion, while labour institution indicators (i.e., union<br />

density) are scarcely recorded in peripheral countries, labour<br />

market inequalities correlate significantly with health outcomes. in<br />

semi-peripheral countries, labour market inequalities are<br />

significantly associated with a range of health outcomes. however, a<br />

large informal sector in these countries does not necessarily mean<br />

worse population health (data not shown). This could be due to a<br />

large presence of small entrepreneurs in addition to workers in the<br />

informal sector. some studies have also found evidence that labour<br />

institutions in wealthy countries are associated with population<br />

health indicators (navarro & shi, 2001; Muntaner et al., 2002;<br />

navarro et al., 2003; chung & Muntaner, 2006; 2007). Taken<br />

together, these associations constitute a body of evidence that<br />

suggests the effects of employment relations on population health<br />

(e.g., rose, 1992; susser, 1994; schwartz, 1994).<br />

an alternative approach to the above is to ascertain the extento<br />

to which employment conditions vary across countries and whether<br />

some welfare regimes bring about more salutary employment and<br />

working conditions. Grouping countries into clusters of<br />

homogeneous labour market characteristics can be an efficient way<br />

to summarise global variation in employment conditions. Thus, we<br />

divided countries into three groups according to their position in the<br />

world system, using an analytical tool based on national incomes<br />

(Babones, 2005). next, using data from the ilo’s KilM dataset and<br />

the World health organization (years 2000 and 2004), we conducted<br />

cluster analyses of middle- and <strong>low</strong>-income countries.<br />

for core (wealthy) countries, we used oecd data to generate<br />

labour market clusters. core countries yielded 3 clusters based on<br />

unionisation rates, on a logarithmic scale, and an employment<br />

protection legislation index. The resulting clusters largely<br />

correspond with esping-andersen's welfare state regime types.<br />

countries in the social democratic cluster (see figure a5, in section<br />

2 in the appendices) showed distinctively higher unionisation rates<br />

compared to the corporatist and liberal clusters. What separates<br />

corporatist countries from liberal countries is the level of<br />

employment protection: the former exhibit stronger labour<br />

protection for both full-time and temporary workers compared to<br />

the latter.<br />

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