6.2b Regression Model with Quadratic terms

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  • Опубликовано: 15 сен 2024

Комментарии • 9

  • @Retumn98716
    @Retumn98716 3 года назад +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 года назад +4

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

    • @abdullahikelly9271
      @abdullahikelly9271 2 года назад +1

      Very interesting explanation thanks,

  • @clintonarum6935
    @clintonarum6935 2 года назад +2

    Well explained. This is helpful. Thanks very much.

  • @sergiokrakowiak3703
    @sergiokrakowiak3703 2 года назад +1

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

  • @markokusacic5868
    @markokusacic5868 2 месяца назад

    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?

  • @kidcoltsungete8987
    @kidcoltsungete8987 2 года назад +1

    This is really of help 👏

  • @jyotsnarosario2204
    @jyotsnarosario2204 Год назад

    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  Год назад

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