Hello,

I wanted to run a panel logistic regression with dependent variable Y (0, 1) and an explanatory variable X with other control variables.

Where, X is the index variable scaled between 0 and 1 and it is highly left-skewed (most of the observations near to 1, see the Histogram below).

Is it fine if I include the original X variable in the regression without transformation? or Do I need to use any other regression model (ordered logit or probit)?


Thanks for your consideration.

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