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(Stata13):Multicollinearity Explained

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  • Опубліковано 17 сер 2024
  • Multicollinearity occurs when there exists perfect or exact linear dependence or relationships between two explanatory variables or among explanatory variables in a given model. It has the potential of adversely affecting regression coefficients. It affects the regression beta weights, standard errors and the corresponding statistical significance levels associated with them. You can identify the presence of multicollinearity if you observe any of the following: R-squared will be high, beta coefficients will not be statistically significant, beta coefficients will be contrary to expected a priori or bizarre, large standard errors, small t-statistics, more likely not to reject the null hypothesis, removing or adding a regressor causes substantial changes to the model, and more often than not, the model breaks down. This video explains multicollinearity and how to correct it.
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КОМЕНТАРІ • 38

  • @CrunchEconometrix
    @CrunchEconometrix  6 років тому +5

    UA-cam recently changed the way my content will be monetised. My channel now needs 1,000 subscribers. So it would be amazing if you show your support by both watching my videos and subscribing to my channel if you haven’t done so already. Monetising my videos allows me to invest back into the channel with some new equipment so this small gesture from you will be extremely huge for me. Many thanks for your support….CrunchEconometrix loves to teach, help me stay online.

  • @researcher_2020
    @researcher_2020 Рік тому

    Great and very helpful to capture within a short time! You're more than expert

    • @CrunchEconometrix
      @CrunchEconometrix  Рік тому

      Thanks for the encouraging feedback, deeply appreciated 🙏🥰

  • @burhan3366
    @burhan3366 3 роки тому +1

    God bless.
    Thank you, Professor!

  • @wordin2mins
    @wordin2mins 5 років тому +1

    Thanks Professor. You made a clear explanation.

  • @nguyenthilanh4513
    @nguyenthilanh4513 4 роки тому +1

    Dear CrunchEconometrix. Thank you for your useful video. I have one question: How to calculate Multicollinearity by using multinominal regression? Stay safe and healthy!
    Best,
    Lanh Nguyen

    • @CrunchEconometrix
      @CrunchEconometrix  4 роки тому +1

      Unfortunately I have no idea. Perhaps, you may get some hints from the internet.

    • @nguyenthilanh4513
      @nguyenthilanh4513 4 роки тому +1

      @@CrunchEconometrix thank for your reply. Stay healthy!

  • @aiboudaziz8318
    @aiboudaziz8318 3 роки тому +1

    Thank you very much for this tutorial. I would like to ask you question please. How can I check multicollinearity in panel data model?

  • @adonwriter8360
    @adonwriter8360 4 роки тому

    Thank you. I would like to know how to check for VIF as an expost test of multicolinearity for System GMM estimation.

    • @CrunchEconometrix
      @CrunchEconometrix  4 роки тому

      First estimate a pooled OLS then VIF. That is:
      reg y x1 x2 x3
      vif

  • @popoolao.a2793
    @popoolao.a2793 6 років тому

    More power to your elbow... Good job

    • @CrunchEconometrix
      @CrunchEconometrix  6 років тому +1

      Thanks for the encouragement Popoola, hope you got something from there. Subscribe for more simplified tutorials from CrunchEconomterix...and share the love (likes) too :), tell colleagues, students etc

  • @mohammadshahidulislam403
    @mohammadshahidulislam403 4 роки тому +1

    Nice job.

    • @CrunchEconometrix
      @CrunchEconometrix  4 роки тому

      Hi, Mohd. I'm encouraged and humbled by your feedback. May God bless you. Please may I know from where (location) you are reaching me?

    • @mohammadshahidulislam403
      @mohammadshahidulislam403 4 роки тому +1

      @@CrunchEconometrix Japan

    • @CrunchEconometrix
      @CrunchEconometrix  4 роки тому +1

      Awesome! Please share the link to my UA-cam Channel with your students and colleagues... thanks!

    • @mohammadshahidulislam403
      @mohammadshahidulislam403 4 роки тому +1

      @@CrunchEconometrix Of course.

  • @somnathmukhuti5265
    @somnathmukhuti5265 4 роки тому +1

    This video will be useful for me but but can't solve the Multicollinearity problem. before starting analysis process, I have already converted my full raw data into natural log. But still it indicates the same problem. Madam, in this situation what I will do?

    • @CrunchEconometrix
      @CrunchEconometrix  4 роки тому

      You didn't pay attention to the suggestions made in the video. DO NOT PUT HIGHLY COLLINEAR variables together in the same model. Kindly watch the video again. Thanks.

    • @zoyashah7826
      @zoyashah7826 3 роки тому

      But if others have used those variables and the variables are important for the study..then what to do in that case

    • @CrunchEconometrix
      @CrunchEconometrix  3 роки тому

      You may need to look up other online resources about this.

    • @zoyashah7826
      @zoyashah7826 3 роки тому

      Mam can we log transform the variables of different units.For instance,if FDI is in billions and other variables is in crores,then can I transform all the variables in log or do I have to first transform the FDI in crores??

    • @zoyashah7826
      @zoyashah7826 3 роки тому

      Plz reply mam

  • @adebayoogundare1239
    @adebayoogundare1239 6 років тому +1

    Ride on sis.

    • @CrunchEconometrix
      @CrunchEconometrix  6 років тому

      Adebayo Ogundare... Thanks bro, help make my channel go viral!👊🏾

  • @DonMorloc
    @DonMorloc 4 роки тому

    How can I export a VIF table?

    • @CrunchEconometrix
      @CrunchEconometrix  4 роки тому

      Hi DonMorloc, I'm not aware of any export command for that.

  • @monahamdy4345
    @monahamdy4345 2 роки тому

    Thank you very much for this tutorial. I would like to ask you question please. How can I check multicollinearity in a probit model?