Employmentweb_low

EmploymEnt, work, and hEalth inEqualitiEs - A globAl peRSpeCTIve
bivariate associations with percentage of gNp from the informal sector
to compensate for the fact that we did not use any informal sector indicator in this
analysis, we examined the bivariate associations between the explanatory variables, various
health outcomes and the variable "percentage of Gnp produced from informal sector."
A.2.2. resUlts
originally our dataset included a total of 210 countries, which was comprised of 38 core,
61 semi-peripheral and 111 peripheral countries. due to missing data-points, 144
countries out of 210 were categorised into labour market clusters (21 core, 42 semiperipheral,
and 71 peripheral countries). data from a total of 79 (53 peripheral and 26
semi-peripheral) countries were used for the analysis of the informal sector.
descriptive analyses
Figure a2. Relationship between two factor scores (Quadratic).
the descriptive statistics of explanatory variables are given in table A2. mean values of
variables that were used to generate labour market inequality scores (labeq) were
similar between semi-peripheral and peripheral countries. However, variables used to
generate labour market poverty factor scores (labpov), such as percentage of child
labour, percentage of working poor, and average income, show large discrepancies
between the two positions in the world system. in Figure A2, we present the
relationship between the two factor scores. we can see that the positive correlation
between them is more pronounced in peripheral countries compared to semiperipheral
countries.
-2 -1 0 1 2
-2 -1 0 1 2
Labour market poverty factor score (labpov)
95% CI
Core countries
Peripheral countries
Fitted values
Semi-peripheral countries
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