Hi,
I am implementing a multi level model in Stata.I have some questions regarding interpreting the output specifically analyzing the random effects at individual and country level.
The dependent variable(V46new) is binary and dataset has two levels : individual and country. I want to see how individual as well as country level variables affect the dependent variable. The data was collected for 5 years .
I want to analyze if country's unemployment rate (Unemp2010) and other individual level variables affect the dependent variable (V46new) using multi level approach to analyze contextual effects.
My questions are as follows:
Thank you very much.
Regards,
Maliha Nazir
I am implementing a multi level model in Stata.I have some questions regarding interpreting the output specifically analyzing the random effects at individual and country level.
The dependent variable(V46new) is binary and dataset has two levels : individual and country. I want to see how individual as well as country level variables affect the dependent variable. The data was collected for 5 years .
I want to analyze if country's unemployment rate (Unemp2010) and other individual level variables affect the dependent variable (V46new) using multi level approach to analyze contextual effects.
My questions are as follows:
- What does (_cons) and var(_cons) represent and how are these values interpreted?
- How is var(Une~2010) interpreted?
- What is the variance at individual and country level from the Stata output?
Thank you very much.
Regards,
Maliha Nazir