Dear Statalists,
For my masters thesis I’m running a ppml regression (dependent variable = total size of deals) and the independent variables consist of a series of bilateral variables, investor country variables and target country variables - all in log except dummy variables and the dependent one.
I’m quite surprised with the results (the coefficients are somewhat high, same for std errors and my RESET test failed). I then tried a poisson regression and the results seem a bit more coherent but still not what I expected.
I. PPML regression

II. Poisson regression

Could someone give me some guidance abt which model to use and how can I improve it?
Thanks a lot!
Nathalie
For my masters thesis I’m running a ppml regression (dependent variable = total size of deals) and the independent variables consist of a series of bilateral variables, investor country variables and target country variables - all in log except dummy variables and the dependent one.
I’m quite surprised with the results (the coefficients are somewhat high, same for std errors and my RESET test failed). I then tried a poisson regression and the results seem a bit more coherent but still not what I expected.
I. PPML regression
II. Poisson regression
Could someone give me some guidance abt which model to use and how can I improve it?
Thanks a lot!
Nathalie
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