Hi (all),
I have been trying to solve this issue for several hours now. Unfortunately, I did not come across a solution that works. Therefore, let me try here:
I am running a panel data regression for 63 countries and 23 years (1996-2018). My independent variable is 'socio-economic development', comprised of three seperate (predictor) variables 'GDPlog' 'LifeExpectancy', and 'Urbanization rate'. I have lagged these independent variables. My dependent variable is a computed proxy for 'Individualism' (data gathered from the World Value Survey - which is aggregated to the country level).
After running the model with both time- and country-fixed effects, a lot of values turn out insignificant (see screenshot attachted). In this regression, 'IQ' (institutional quality) and 'EI' serve as a moderator. For this regression, however, I have not yet created the interaction effects. The variables 'PS', 'HD', and 'GEN' are control variables.
I would greatly appreciate all the help!! (I am quite the rookie).
Thank you!
I have been trying to solve this issue for several hours now. Unfortunately, I did not come across a solution that works. Therefore, let me try here:
I am running a panel data regression for 63 countries and 23 years (1996-2018). My independent variable is 'socio-economic development', comprised of three seperate (predictor) variables 'GDPlog' 'LifeExpectancy', and 'Urbanization rate'. I have lagged these independent variables. My dependent variable is a computed proxy for 'Individualism' (data gathered from the World Value Survey - which is aggregated to the country level).
After running the model with both time- and country-fixed effects, a lot of values turn out insignificant (see screenshot attachted). In this regression, 'IQ' (institutional quality) and 'EI' serve as a moderator. For this regression, however, I have not yet created the interaction effects. The variables 'PS', 'HD', and 'GEN' are control variables.
I would greatly appreciate all the help!! (I am quite the rookie).
Thank you!

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