[Carlo Lazzaro]

Alkebsee:
as far as I can see the interaction reaches statistical significance.
That said, you should have obtained the very same values that the regression outcome table that Stata gave you back for the interaction coefficient.

[Clyde Schechter]

Is there a significant difference between the two equations (+ and -) ? regarding the null hypothesis and its effect on our decision ?

The significant difference is that the equation with + is correct and the one with - is incorrect.

But, what if the controlling shareholders is continues variable not binary ( another MV of mine is not dichotomous)

In that case you have to pick a set of representative, or important, values of the modifying variable and use them with -lincom- in a somewhat different way. I'll just refer here to the modifying variable as MV, and IX2 as the interaction of MV with log_id_pay, and to illustrate the approach I'll use 1, 2.5, 7.5, and 12.3 as the important, or representative, values of MV.

foreach x of numlist 1 2.5 7.5 12.3 {
    lincom log_id_pay + `x' *IX2
}

This will give you the effects (in the log odds ratio metric) of log_id_pay at each of those specified values of MV.

[ALKEBSEE RADWAN]

So your response to the reviewer should be that the modification of the log pay effect by controlling shareholders is statistically significant. Now, since you are not using factor-variable notation in your regression, I cannot be certain what kind of variable controlling shareholders is. I will infer that because you have a variable called controlling_shareholders_dum, that it is dichotomous, with values 0 and 1. So you should now report two separate effects of log pay, one for each value of controlling shareholders. The effect (in log odds ratio metric) of log pay when controlling_shareholders_dum == 0 is just the coefficient of log_ID_pay. To get the effect of log pay when controlling_shareholders_dum == 1, you would use -lincom- as follows:

lincom log_ID_pay + consh_id

kindly can you answer my question above ?

But, what if the controlling shareholders is continues variable not binary ( another MV of mine is not dichotomous)?
How can I use it ? or if there is another way to check the differences Kindly guide me.

[Clyde Schechter]

I answered that in #17.

[Carlo Lazzaro]

Alkebsee:
could you please share what you typed and what Stata gave you back when you add shareholders control as a continuous predictor? Thanks.