13. Robust Standard Errors

Поделиться
HTML-код
  • Опубликовано: 30 июл 2024

Комментарии • 10

  • @Ovationification
    @Ovationification 3 года назад +4

    I benefited quite a bit from this lecture. Thank you, professor King.

  • @Canaanite48
    @Canaanite48 6 месяцев назад +1

    Very intuitive explanation,
    Many thanks

  • @murongyunhai
    @murongyunhai Год назад +1

    love your articulation !

  • @kongmanhong4919
    @kongmanhong4919 Год назад

    Extremely helpful lecture on RSE.

  • @Birgit_HH
    @Birgit_HH Год назад

    Warm greetings and thanks so much! 🌻🌻🌻 In two weeks final exam in statistics (Master / Psychology)... Now there is hope! Greetings from Germany 🙃🌲

  • @yunlongwong5588
    @yunlongwong5588 3 года назад

    Thanks for such a good lecture about the RSE.

  • @ipodiscovering6301
    @ipodiscovering6301 2 года назад

    Amazing video: thank you very much!

  • @nnicola55555
    @nnicola55555 Год назад

    I am attempting to identify the appropriate code for calculating clustered standard errors following the execution of a regression using the multinom() function in r.
    I attempted the following code but consistently encountered an error:
    Calculate the cluster-robust variance-covariance matrix
    vcov_clustered

  • @nicolanones5501
    @nicolanones5501 3 года назад +1

    Great video(s), thank you so much! Is it possible that the "systematic" and "stochastic" components are mixed up in slide 11? Shouldn't it be the reverse?

    • @Gary-King
      @Gary-King  3 года назад +2

      Yes, good point, thanks I'll fix in the next version. The math is right as is but the names need to be swapped.