Hi everyone! I'm a newbie in R, so I'd like to ask for some help or suggestion on my regression.
I have 2 datasets (2000 and 2010) from labor force survey of a country. The dependent variables: success / not success and the dependent variables from both datasets are the same: age, education, gender.
The goal is to observe from both datasets:
- the personal attributes that make an individual success.
- what type of education level that is more probable to make a person "success".
Is there anyway to tied up both years together so we can do comparison?
The model of regression from both year is the same.
Yes, you can make a single model that includes a dummy variable for Year, e.g.
Success ~ Age + Education + Gender + Year .
You can also include interactions like Age x Year .
You can test for the main effect of, say, Age .
But the effect of Age x Year tests if the effect of Age was similar in both years.
I don't really see why you would do regression here; you have only 2 data points and no continuous variables except age.
Why don't you just compare the different groups with a chi² test?
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