Hello,
I have a list of companies and an indicator variable that indicates whether the respective company has implemented an ESG Pay metric in executive compensation or not (1 or 0) for the years 2011 - 2022. Also I have additional data, such as emissions, Bloomberg ESG Score, Total Assets, Returns etc for each company from the year 2011 - 2022.
Now I want to assess whether the implementation of ESG Pay has an effect on e.g. the company's emissions. I assume I have to do it with xtdid regress, since it is panel data.
However, what I find difficult is that there is no real control and treatment group, but depending on the year, companies move in and out of the groups, depending on whether they implemented the ESGPay, which can change from year to year for each company.
Also I want to control for e.g. firm size (Total Assets) and include fixed effects.
Can anyone help me with the code? (I use Stata 18)
I have a list of companies and an indicator variable that indicates whether the respective company has implemented an ESG Pay metric in executive compensation or not (1 or 0) for the years 2011 - 2022. Also I have additional data, such as emissions, Bloomberg ESG Score, Total Assets, Returns etc for each company from the year 2011 - 2022.
Now I want to assess whether the implementation of ESG Pay has an effect on e.g. the company's emissions. I assume I have to do it with xtdid regress, since it is panel data.
However, what I find difficult is that there is no real control and treatment group, but depending on the year, companies move in and out of the groups, depending on whether they implemented the ESGPay, which can change from year to year for each company.
Also I want to control for e.g. firm size (Total Assets) and include fixed effects.
Can anyone help me with the code? (I use Stata 18)
Comment