I have the two following regression:
$$y=X_1\beta_1+\varepsilon_1$$
and
$$y=X_2\beta_2+\varepsilon_2$$
$x_1$ and $x_2$ are indicator variables and very similar. One expert claim that the two coefficients are the same. I want to know what kind of test I can perform to see if $β_1=β_2$.
Best Answer
If the two predictors are orthogonal, an optimal test is to compare the model
$$ y_i \sim \beta_0 + \beta_1 X_1 + \beta_2 X_2 $$
with the submodel
$$ y_i \sim \beta_0 + \beta_1 (X_1 + X_2) $$
with the likelihood ratio test. The null hypothesis is that $\beta_1 = \beta_2$.