Hello everyone,
this is my first post, please excuse any mistakes I might make when posting.
For my master thesis, I am working with time series data (N (109)>T (72)) which I want to use to find out which effect imposed sanctions (sanctions) have on violence against women (VAW, varible: ageallf) in the target state. I am fairly new to stata and quantitative analysis.
I intended to work with the OLS regression model, but once I entered the regression command to test my model, Stata automatically went with a GLS regression. I have read reasons for why GLS is used instead of OLS and understand the reasoning. But I don't understand how I can know my data is heteroskedastic if I can't test it without automatically using the GLS model. If I do tests after the regression, the results are based on the GLS regression and result in no heteroskedasticity.
Any help is appreciated.
Kind regards,
Denise
this is my first post, please excuse any mistakes I might make when posting.
For my master thesis, I am working with time series data (N (109)>T (72)) which I want to use to find out which effect imposed sanctions (sanctions) have on violence against women (VAW, varible: ageallf) in the target state. I am fairly new to stata and quantitative analysis.
I intended to work with the OLS regression model, but once I entered the regression command to test my model, Stata automatically went with a GLS regression. I have read reasons for why GLS is used instead of OLS and understand the reasoning. But I don't understand how I can know my data is heteroskedastic if I can't test it without automatically using the GLS model. If I do tests after the regression, the results are based on the GLS regression and result in no heteroskedasticity.
Any help is appreciated.
Kind regards,
Denise
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