Dear All,
I want to explain differences in portfolio returns for two types of investors (institutional and retail)
I'm using Suest, as it allows me to get the coefficients for both types of investors and to compute and test for the significance of these differences
In my regressions:
portfolio takes values from 1 to 5 (5 different portfolios)
institutional is 1 for institutional and zero for retail investors
This is the code:
**SUEST
fvset
eststo: reg return i.portfolio (+ controls) ///
if institutional==1
estimates store institutional
fvset
eststo: reg return i.portfolio (+ controls) ///
if institutional==0
estimates store retail
suest institutional retail, cluster (date)
test [institutional_mean]_cons=[retail_mean]_cons
test ([institutional_mean]_cons+[institutional_mean]2.portfolio)= ([retail_mean]_cons+[retail_mean]2.portfolio)
test ([institutional_mean]_cons+[institutional_mean]3.portfolio)= ([retail_mean]_cons+[retail_mean]3.portfolio)
test ([institutional_mean]_cons+[institutional_mean]4.portfolio)= ([retail_mean]_cons+[retail_mean]4.portfolio)
test ([institutional_mean]_cons+[institutional_mean]5.portfolio)= ([retail_mean]_cons+[retail_mean]5.portfolio)
The code above does not include fixed effects
So, I can test for differences between institutional and retail investors for all 5 portfolios ,as portfolio 1 coefficient is given by the constant
But, what if I include time and firm fixed effects in the regression (i.date i.id)?
How can I identify the coefficient of portfolio 1, as the constant coefficient will now be affected by the fixed effects?
Thanks in advance
Antonio
I want to explain differences in portfolio returns for two types of investors (institutional and retail)
I'm using Suest, as it allows me to get the coefficients for both types of investors and to compute and test for the significance of these differences
In my regressions:
portfolio takes values from 1 to 5 (5 different portfolios)
institutional is 1 for institutional and zero for retail investors
This is the code:
**SUEST
fvset
eststo: reg return i.portfolio (+ controls) ///
if institutional==1
estimates store institutional
fvset
eststo: reg return i.portfolio (+ controls) ///
if institutional==0
estimates store retail
suest institutional retail, cluster (date)
test [institutional_mean]_cons=[retail_mean]_cons
test ([institutional_mean]_cons+[institutional_mean]2.portfolio)= ([retail_mean]_cons+[retail_mean]2.portfolio)
test ([institutional_mean]_cons+[institutional_mean]3.portfolio)= ([retail_mean]_cons+[retail_mean]3.portfolio)
test ([institutional_mean]_cons+[institutional_mean]4.portfolio)= ([retail_mean]_cons+[retail_mean]4.portfolio)
test ([institutional_mean]_cons+[institutional_mean]5.portfolio)= ([retail_mean]_cons+[retail_mean]5.portfolio)
The code above does not include fixed effects
So, I can test for differences between institutional and retail investors for all 5 portfolios ,as portfolio 1 coefficient is given by the constant
But, what if I include time and firm fixed effects in the regression (i.date i.id)?
How can I identify the coefficient of portfolio 1, as the constant coefficient will now be affected by the fixed effects?
Thanks in advance
Antonio
