Hello, I am new here an seeking help for my dissertation work.
I would like to test the value of 9 developmental factors on economic growth.
My dependent variable is: delta of GDP per capita in 2015-2004
My independent variables are:
Delta between 2015-2004 of primary education ratio
Delta between 2015-2004 in secondary education ratio
Delta between 2015-2004 in rural population (% in total population)
Delta between 2015-2004 in oil sells (% of GDP)
Delta between 2015-2004 in life expectancy
Delta between 2015-2004 in health expansion (%of GDP invest into health infrastructures)
Delta between 2015-2004 in Fertility rate
By Delta between 2015-2004 for each variable, I mean that I took the value in 2004 and subtracted it with the value in 2015, thus using the evolution of each factor to show the evolution of the GDP per capita, between 2004 and 2015.
I am using low and lower-middle income economies.
However, my findings are very very odd: most of my variables have a negative impact on GDP per capita (and most of them should have a positive effect on it) + most of my variables are statistically insignificant.
I am unfortunately lacking numerical and stata skills and this research work accounts for a large part of my degree.
Anyone with ideas of why my regression isn't making sense, it would be very helpful. Thank you in advance
Best
I would like to test the value of 9 developmental factors on economic growth.
My dependent variable is: delta of GDP per capita in 2015-2004
My independent variables are:
Delta between 2015-2004 of primary education ratio
Delta between 2015-2004 in secondary education ratio
Delta between 2015-2004 in rural population (% in total population)
Delta between 2015-2004 in oil sells (% of GDP)
Delta between 2015-2004 in life expectancy
Delta between 2015-2004 in health expansion (%of GDP invest into health infrastructures)
Delta between 2015-2004 in Fertility rate
By Delta between 2015-2004 for each variable, I mean that I took the value in 2004 and subtracted it with the value in 2015, thus using the evolution of each factor to show the evolution of the GDP per capita, between 2004 and 2015.
I am using low and lower-middle income economies.
However, my findings are very very odd: most of my variables have a negative impact on GDP per capita (and most of them should have a positive effect on it) + most of my variables are statistically insignificant.
I am unfortunately lacking numerical and stata skills and this research work accounts for a large part of my degree.
Anyone with ideas of why my regression isn't making sense, it would be very helpful. Thank you in advance
Best
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