6.2b Regression Model with Quadratic terms

Поділитися
Вставка
  • Опубліковано 18 січ 2025

КОМЕНТАРІ • 10

  • @Retumn98716
    @Retumn98716 3 роки тому +5

    hey, I am just studying econometrics in my master's degree and you're videos are helping me a lot understanding the subject ... even more so than my own professors lectures. Thank you very much for putting them on!

    • @kakarvenoo
      @kakarvenoo  3 роки тому +4

      Thanks for your message, I am glad you find these useful for your classes!

    • @abdullahikelly9271
      @abdullahikelly9271 3 роки тому +1

      Very interesting explanation thanks,

  • @sergiokrakowiak3703
    @sergiokrakowiak3703 2 роки тому +1

    Wonderful lecture!!! Helped me a lot. Thank you!!

  • @kidcoltsungete8987
    @kidcoltsungete8987 2 роки тому +1

    This is really of help 👏

  • @clintonarum6935
    @clintonarum6935 3 роки тому +2

    Well explained. This is helpful. Thanks very much.

  • @markokusacic5868
    @markokusacic5868 7 місяців тому

    Is it normal that quadratic equation produces multicolionarity between x and x^2 in the model and should I try to get rid of it?

  • @jyotsnarosario2204
    @jyotsnarosario2204 2 роки тому

    What if we have a log log specification, should we take square the experience and then take log i.e., log (experience* experience) or take log (experience)* log (experience).

    • @kakarvenoo
      @kakarvenoo  2 роки тому

      You wouldn’t take the log of exper or exper squared - logs will complicate the interpretation.

  • @vivekm7971
    @vivekm7971 3 години тому

    SHARE THE PDF