I am running a difference-in-difference regression. The treatment variable is assigned a continuum (i.e. continuous values between 0 and 1) instead of binary. I obtain standardized coefficients by regressing standardized Y on standardized X (where X is the treatment intensity variable). I find that 1 S.D. change in X is associated with 0.16 SD change in Y. I need to interpret this coefficient in percentage terms. The distribution for unstandardized X and Y are as follows:
Is the following back of the envelope calculation correct:
1SD change in X ---- 0.16 SD change in Y
= 0.16 * 0.086
= 1.2 % change in Y
I am wondering if there is a more robust way of interpreting these coefficients. Thanks in advance!
Variable | Mean | S.D |
X | 0.4197373 | 0.086 |
Y | 34.94349 | 27.37068 |
Is the following back of the envelope calculation correct:
1SD change in X ---- 0.16 SD change in Y
= 0.16 * 0.086
= 1.2 % change in Y
I am wondering if there is a more robust way of interpreting these coefficients. Thanks in advance!
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