BJ Data Tech Solution

Specialized on Data processing, Data management Implementation plan, Data Collection tools - electronic and paper base, Data cleaning specifications, Data extraction, Data transformation, Data load, Analytical Datasets, and Data analysis. BJ Data Tech Solutions teaches on design and developing Electronic Data Collection Tools using CSPro, and STATA commands for data manipulation. Setting up Data Management systems using modern data technologies such as Relational Databases, C#, PHP and Android.

What estimation methods can endogenicity, heteroskedasticity, autocorrelation and fixed effects be solved without using GMM?
What estimation methods can endogenicity, heteroskedasticity, autocorrelation and fixed effects be solved without using GMM?

Hello netizens of Stata forum.
I have a panel of 13 countries and 8 years. I tried with the GMM but the results are not satisfactory because the number of instruments is always higher than the number of groups even if I drastically reduce the number of regressors.
What are the appropriate estimation methods to simultaneously control endogeneity, heteroscedasticity, autocorrelation and fixed effects in Stata?
Endogeneity, heteroscedasticity, autocorrelation and fixed effects are the problems in my data.
Thank you

BJ Data Tech Solution

0 Response to What estimation methods can endogenicity, heteroskedasticity, autocorrelation and fixed effects be solved without using GMM?

Post a Comment