Hello everybody,
Hope this finds you well!
I have data for 81 agricultural cooperatives for 3 years (2021-2023), but there are numerous missing values, I solve the problem by using replacements of independent variables that have not much missing values, but the problem of dependent variable is remaining (with just 151 observations and 92 missing values!), the overall observation of the regression is also 151 with 76 groups, is this enough to give reliable estimations with the chosen random effects (By Hausman and xtoverid)?
If not reliable, how to compensate or deal with the missing values in dependent variable?
Please note that I have around 8 independent variable, does delete some of them and suffice with 5 dependent variable will mitigate the problem - if existing-? even if this will decrease R^2 ?
Thanks in Advance!
Maha Natsheh
Hope this finds you well!
I have data for 81 agricultural cooperatives for 3 years (2021-2023), but there are numerous missing values, I solve the problem by using replacements of independent variables that have not much missing values, but the problem of dependent variable is remaining (with just 151 observations and 92 missing values!), the overall observation of the regression is also 151 with 76 groups, is this enough to give reliable estimations with the chosen random effects (By Hausman and xtoverid)?
If not reliable, how to compensate or deal with the missing values in dependent variable?
Please note that I have around 8 independent variable, does delete some of them and suffice with 5 dependent variable will mitigate the problem - if existing-? even if this will decrease R^2 ?
Thanks in Advance!
Maha Natsheh
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