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I am making a multidimensional regression model. The independent variables that I have chosen are :

1)GDP per capita 2)life expectancy 3)average birth per woman 4)female unemployment 5)feminine index within the country

the dependent variable is % of women active economically (working, looking for a job or unemployed, but registered)

I need to state some null hypothesis involving those variables, but for me some are obvious, some not: for instance, it is obvious that the bigger the female unemployment, the lesser women active economically.

My question is: for example what hypothesis do I state considering the relation of GDP and % of women active economically, from the data I can see that in the poorest and wealthiest countries the percentage of women working is the biggest. Are there any articles or theories you would recommend?

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  • $\begingroup$ The observations are consistent with women working in subsistence agricultural economies, moving out of employment to a purely domestic role when their spouse starts to work away from home, and then into employment when wider facilities such as communal childcare and domestic automation become available. You then have to regard this as the transition between three economic structures rather than a linear movement between two. Female unemployment (seeking and being available for paid employment but not finding it) is not the same issue as economic activity $\endgroup$ – Henry Jan 8 at 9:08
  • $\begingroup$ By 'working', do you mean 'working for a wage' or engaging in some kind of productive activity? $\endgroup$ – afreelunch Jan 10 at 13:54

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