Hi,
I have made a diff-in-diff model for the returns of high rated ESG firms vs. low. This model include multiple periods (one treatment group).
ESG firms (Top S = high ESG = 1)
Periods: Before, Crash and Recovery (all dummy variables)
Control variables: different financial performance measures (the same for each firm during the whole period)
I have adjusted for sectors.
I have run the following regressions (the Not20_S!=1 is for taking it relative to the bottom ESG)
xtreg RawReturn Top20_S Crash Recovery 1.Top20_S#1.Crash 1.Top20_S#1.Recovery i.GICSectors LN_assets Leverage Liquidity MBV ROA if Not20_S != 1, vce(cluster CompanyNo)
xtreg RawReturn Top20_S Crash Recovery 1.Top20_S#1.Crash 1.Top20_S#1.Recovery i.GICSectors LN_assets Leverage Liquidity MBV ROA if Not20_S!= 1, fe vce(cluster CompanyNo)
I have the following output but am not sure how to interpret it. I have tried below, and in the table. Please let me know if it is correct.
Array
Array
Constant is the average return in the period before the Crash (and recovery) and for the bottom ESG
Top20_S is the average return for the top ESG before the crash (and recovery) relative to the bottom ESG (extra return), i.e., the extra effect of being high ESG before
Crash is the average return of the bottom ESG during the crash relative to before
Recovery is the average return for the bottom ESG during the recovery relative to the period before the crash (not relative to the crash)
Top20_S#Crash is the average return of top ESG during the crash (i.e., relative to before the crash) relative to the bottom ESG
Top20_S#Recovery is the average return of top ESG during the recovery (i.e., relative to before the crash not to the crash) relative to the bottom ESG
Are the interpretations of the five coefficients above correct? And is the following table correctly set up?
Array
Furthermore, as I understand it you do not normally show (or comment) on your control variables or industries, is that correct?
Thank you very much in advance!
Best,
Freja
Related Posts with Interpretation of multiple interaction model (diff-in-diff)
How to drop duplicate observations within two different variables?Hello everyone, I know that it is possible in Stata to drop duplicates. My problem is that I have t…
The percentage of independent directors on the boardHi everyone, For my research I need 1 more control variable. I need a control variable which equals…
Change observations valuesHello, I recently started using STATA however I have a datset with approximately 7 million observati…
Endogeneity test for conditional logistic regressionHi, I'm trying to do a Hausman test for checking endogeneity. I have cross sectional data with a ma…
Different result with Abrigo and Love (2015)Hi all, I used Abrigo and Love (2015)'s pvar package available from the Stata Journal and repeat the…
Subscribe to:
Post Comments (Atom)
0 Response to Interpretation of multiple interaction model (diff-in-diff)
Post a Comment