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Information about work hours was added to complement the employment income variable (because the income variable says nothing about working full time or part time).
Similarly, because the income variable is included in our model, it will be superfluous to include annual expenditure on school fees as done in the earlier model.
This could be debated on grounds that variables such as age, number of children and adults in household may have been highly correlated with income, and hence minimized its influence because the income variable was derived by adjusting household income using those variables.
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We made a logarithmic transformation for the income variable because we assumed a non-linear association.
In a stepwise multivariate regression analysis the income variable could not be entered because it was not significant enough for staying in the model compared to other factors.
Because our income level was measured in 2001 U.S. dollars, the income variable should be adjusted using an inflation calculator (23) if income is expressed in other years.
The results for the income variable are ambiguous.
In this research, the income variable included is the average income per household member.
We logarithmized the income variable for the present analyses.
We implemented several checks on the income variable.
Finally, the income variable is measured by the sum of household expenditures and savings because respondents would be reluctant to indicate their income.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com