What is the difference between doing regression at an individual versus a aggregate level [I am particularly interested in how this influences interpretation of slopes]
This is an example of what I am talking about for individual level data.
Yisb =β0 + β1 Xisq+ β2 Xq+ eisq
Yisb is the outcome variable for individual i in WIB s in year-quarter q
Xisq are the individual attributes for person i in area s in year-quarter q
Xq is a quarter dummy variable?
The only type of regression I have personally seen is apparently the aggregated form [I have seen analysis done at the individual level, but only in ANOVA].
"East to West, least squares is best."
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