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EmploymEnt, work, and hEalth inEqualitiEs - A globAl peRSpeCTIve<br />

References<br />

benavides, F. g., Castejón, e., Mira, M., benach, J., & Moncada, S. (1998). Glosario de prevención<br />

de riesgos laborales. barcelona: Masson.<br />

International labor organization. (2005). Working conditions. Retrieved May 21, 2009, from<br />

http://www.ilo.org/public/english/protection/condtrav/workcond/index.htm<br />

A.2. typoloGy oF coUntries<br />

A.2.1. metHods<br />

data sources and variables<br />

in developing countries (i.e., semi-peripheral and peripheral), we used variables measuring<br />

inequality and poverty in the labour market as a whole (i.e., regardless of whether they were<br />

formal or informal), and workers' wage levels. we constructed indicators of labour market<br />

characteristics as two-factor scores composed of three variables, each measured at two<br />

different times. the first labour market score measured inequality in the labour market<br />

through three standardized variables: the ratio between male and female workers of estimated<br />

earned income (incr1999, incr2003); the gap in levels of labour-force participation between<br />

female and male workers (lfp1997, lfp2003); and the employment-to-population ratio (epr1997,<br />

epr2003). the second factor score quantified poverty and income levels in the labour market,<br />

also using three standardized variables measured twice: percentage of children in the labour<br />

market (chldl1997, chldl2003); percentage of workers that are poor (wkpr1997, wkpr2003); and<br />

average income level (aveinc1999, aveinc2003). For core countries, we used unionisation rate<br />

and employment protection legislation (epl) indices, developed by the oecd, to measure the<br />

security and flexibility of the labour market. we used the mean epl index for regular workers<br />

and temporary workers, for the years 2000-2003 (2000-2004 for Germany and portugal).<br />

Health outcomes were downloaded from the wHo statistics information system<br />

(wHosis) website (wHo, 2010). we used the mean values over the period 1997-2004 .<br />

Variables and sources are given in table A1.<br />

table a1. labour market variables used in the typology of countries.<br />

VariablEs yEar sourCE<br />

labour<br />

market<br />

variables<br />

core<br />

semiperiphery<br />

and<br />

periphery<br />

Union density (logarithmic)<br />

employment protection legislation (epl) indices<br />

- epl index for regular workers<br />

- epl index for temporary workers<br />

labour market inequality factor score (labeq)<br />

- estimated earned income ratio between male and female workers (incr)<br />

- labour force participation gap between female and male workers (lfp)<br />

- employment to population ratio (epr)<br />

labour market poverty factor score (labpov)<br />

- percentage of children in labour market (chldl)<br />

- percentage of workers that are poor (wkpr)<br />

- Average income level (aveinc)<br />

Average of 2000-2003<br />

(2000-2004 for Germany<br />

and portugal)<br />

1997 and 2003<br />

(1999 and 2003 for incr and<br />

aveinc)<br />

Health outcomes 2002 or 2004 wHosis<br />

oecd<br />

kilm<br />

Statistical analyses<br />

world-systems classification<br />

For the classification of countries based on their position in the world-system, we used<br />

Gross national product per capita (Gnppc) for the year 2000, generated through the world<br />

412

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