For my thesis, through panel data, I want to research the effects of tax avoidance in year t (independent variable) which is proxied by the effective tax rate, on the change in ESG (Environment, Social, Governance) scores (0-100) from year t to year t+1. So this dependent variable is a change in score value. However, I am contemplating whether to include the baseline of ESG scores as a covariate. Because, if a firm has a score of 98 on ESG, by definition it will be hard to increase this score since the maximum is 100. Vice versa, for companies having a low score of let say 2, they can more easily improve this. Do these ceiling and floor effects interfere with the interpretation of the results? Is it necessary to include the baseline of the score, or is this unnecessary?
Or is including a dummy variable for bottom and top 10th percentile of ESG scores in the regression as control variable also feasible?
Or is including a dummy variable for bottom and top 10th percentile of ESG scores in the regression as control variable also feasible?
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