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  • Bivariate and Multiple linear regression

    Hello guys,

    I have cross-sectional data and I intend to perform a bivariate (linear) regression and multiple linear regressions with OLS with robust standard errors. I also want to do some main and specific tests, such as t-test, F-test, RESER, Breusch-Pagan and Chow test. In the multiple linear regression, I am aware that it makes sense to perform the statistic tests, but it makes sense to apply them, specially the specific tests, in the bivariate regression?

    Thank you in advance.

  • #2
    Margarida:
    the issue is that bivariate regressions (ie, a set of simple OLS with the same regressand and one different predictor at a time) do not make much sense (even though they're often reported in technical journals).
    That said, you can run the post-estimation tests you mention after bivariate regression; my foreboding is that many of them will let you down, as an OLS with one predictor only is, in all likelihood, misspecified.
    As an aside, I would recommend -linktest- instead of -estat ovtest- (ie, the Ramsey's test).
    Last edited by Carlo Lazzaro; 23 Sep 2021, 04:16.
    Kind regards,
    Carlo
    (Stata 19.0)

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    • #3
      Thank you so much for your help, Carlo!

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