Dear All,
I wish to estimate the following panel data model using xtreg, fe
yit = xitβ + γDi + uit
where D is a time-invariant dummy variable. Estimating the above model following fixed effects method it is not possible to estimate the coefficient γ because due to the fixed-effects transformation, the effect of any time-invariant variable cannot be separated from the fixed-effects.
Running the model bellow using regress , namely using OLS of the modified x on modified y, what would be the interpretation of the coefficient δ about the relation between y and D?
(yit-ȳ*i)= (xit –x̄*i) β + δDi + (uit*-ūi)
where ȳ*I,x̄i*, ūI are the average values of y,x and u over time.
Related Posts with time invariant variables and fixed effects
Importing Excel Files into stataHi I am using these commands to import the excel files and save them into stata. but I am getting t…
local and conditionalsDear all, I am having troubles with some macros. My peace of code is Code: foreach ETC in $ETC{ …
display quotation marks in latexDear all, I would like to make a macro such that I can type in latex something between `` and ". Th…
Longitudinal data analysisI am analyzing a data set of before/after biomarker values in 2 groups. I have baseline continuous c…
Appending ErrorsHello, I am trying to append several datasets together (yes they have been cleaned and are ready for…
Subscribe to:
Post Comments (Atom)
0 Response to time invariant variables and fixed effects
Post a Comment