Dear Statalisters,
I am currently working on a project with cross-country data. In order to examine my research question, I initially intented to use a regular OLS regression. However, since the number of observations by country vary substantially (e.g. U.S.: over 10,000 obs. and Mexico less than 100 obs.), I think that the weighted least squares approach would be more appropriate. I already familiarized myself with some possible Stata commands (wls0; regwls; aweights). In order to ensure that each country receives equal weight in the estimation, I want to conduct WLS, where the weight of each observation is the inverse of the number of observations in each country.
However, I am currently struggling with finding a way to do this with the given Stata commands. Has anyone conducted a similar analysis and can help me? Or does this kind of analysis makes even sense in your opinion?
Comments or suggestions are highly appreciated :-)
TM
Related Posts with Weighted Least Squares Regression
Skewness Kurtosis normality testHi I carried out sktest of normality and results are as follows Skewness/Kurtosis tests for Normal…
Zoom in a mapDear listers, I have a problem in visualising information on the map. After I creates a map, the ma…
Garbled when outputing statistical resultsMy datasets contains Chinese scalar tags.And I want to use "logout" and "asdoc" to output the descri…
PLOGIT ado file not foundDear Statalist friends, Does anyone has the plogit & plsearch ado files? It seems that both are…
GINI calculation using inequal7Good morning, I am interested in calculating the potential differences in the gini index for networ…
Subscribe to:
Post Comments (Atom)
0 Response to Weighted Least Squares Regression
Post a Comment