Hello,
I am running a fixed effects model on an unbalanced dataset. I cannot reject the null hypothesis that all ui = 0 . I know that this indicates that the pooled OLS is better to analyse the data with the help of this forum. However, I am wondering what the consequences are for the fixed effects model. Can I still interpret these coefficients or are they biased? Or does the fixed effects model tends to be less significant?
Kind regards,
Timea De Wispelaere
Related Posts with F test xtreg, fe indicates pooled OLS is better. What are the consequences for fe?
Failing to convert .shp and .dbf dile to .dta formatHello, I'm trying to convert a gis file to .dta format. To answer a few questions: .shp and .dbf ar…
Populating a column with valuesI need to populate the empty columns with corresponding values within that year, it could be that I …
chnaging values of a variableDear Listers, I am using Stata 15.1. I am working with a dataset with more than a million observati…
heterofactor and ML maximizationI am using the heterofactor command (https://www.stata-journal.com/articl...article=st0431), but it …
log differenced model and GMM EstimatorHi all, I have panel data (T=30) and due to potential threat of non stationarity in my data i've tr…
Subscribe to:
Post Comments (Atom)
0 Response to F test xtreg, fe indicates pooled OLS is better. What are the consequences for fe?
Post a Comment