Interpretation of Non statistically significant coefficient

[Pita Fouta]

Hello everyone,

I know we can explain the reasons why an independent variable is insignificant in a linear regression and therefore has no effect on the independent variable in the model but do you think we can still interpret the coefficient of this independent variable or is interpreting the coefficient useless since we can't reject the null hypothesis and therefore it has no effect on the independent variable?

Thank you in advance.

[Carlo Lazzaro]

Pita:
in general, non-significant coefficients are as informative as their significant counterparts.
Unfortunately, you do not provide interested listers with what you typed and what Stata gave you back (as per FAQ).
In addition, has that non-significant coefficient a relevant role in the data generating process you're investigating or is it just a control?

[Pita Fouta]

Thank you for your answer, in fact it is a control variable, the gender of the person that is not significant in explaining the income. However, this is due to the fact that I have little data on women, only 1% of women in my study. However, the variation of the coefficient is fair, and when the individual is a woman her coefficient is negative to explain the income. So I don't know if I should describe that the relationship is fair or if I am talking in general about what the literature says on the subject by saying that I cannot conclude anything from my data.

[Carlo Lazzaro]

Pita:
1% of whatever in a given variable is definitely not enough to conclude anything.

[Pita Fouta]

yes, I know, that's why I wanted tobe sure that I don't have to interpret the coefficient