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Multicollinearity || STATA || VIF

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  • Опубліковано 30 жов 2021
  • Hello everyone.....
    This video explains how to check multicollinearity in STATA.
    This video focuses on only two ways of checking Multicollinearity using the following commands:
    1. pwcorr dep var indep var
    2. vif
    By using aforementioned command one can check Multicollinearity in STATA.
    1. What is Multicollinearity?
    2. Why Multicollinearity is a problem in a Multiple Regression Model?
    3. How to detect Multicollinearity?
    - High pair wise correlation (Correlation method)
    - Variance Inflation Factor Method
    4. How to solve Multicollinearity?
    - Drop a variable
    - Transform some of the variable if possible
    - Transform the entire regression model
    - Acquire additional data or new sample
    - Ridge Regression
    - Principal Component Analysis
    To know aforementioned watch this video on Multicollinearity in EVIEWS- • Multicollinearity| Mul...
    Link to join telegram channel: t.me/kshekhawat
    Thanks for watching and Subscribing!
    Happy Learning!
    #multicollinearity #vif #correlation #multipleregressionmodel #eviewstutorial #eviews #varianceinflationfactor

КОМЕНТАРІ • 45

  • @NATURE__Photography283
    @NATURE__Photography283 2 роки тому +3

    Lectures are very interesting and knowledgefull .The way of teaching is outstanding 🥰🤩👍👍

  • @simranpreetkaur236
    @simranpreetkaur236 2 роки тому +2

    Your teaching is prefect mam

  • @chamkaursidhu9887
    @chamkaursidhu9887 2 роки тому +3

    Mam really your explanation is very nice ..... simple and clear.....
    I just want to ask mam what is source of your motivation ... which miracle is working behind your teaching skill ...

    • @komalkanwarshekhawat_
      @komalkanwarshekhawat_  2 роки тому +1

      Thanks a bunch dear.... Consistency and blessings of well wishers like you are the support system ❤️

    • @chamkaursidhu9887
      @chamkaursidhu9887 2 роки тому

      @@komalkanwarshekhawat_ 😊😊

  • @knowledgeforsuccess35
    @knowledgeforsuccess35 2 роки тому +1

    Your way of teaching is really very attractive 😊. Keep it up 👍.

  • @Maria.Qureshi.Official
    @Maria.Qureshi.Official Рік тому +1

    Thank u dear for such a knowledgeable video

  • @mahinurmimi9782
    @mahinurmimi9782 Рік тому +1

    Dear Maam,
    Why vif command shows "not appropriate after regress, nocons; use option uncentered to get uncentered VIF" beacuse of running any model other than OLS?
    I run fixed effect model, then write vif command. Then stata shows not appropriate result.

    • @komalkanwarshekhawat_
      @komalkanwarshekhawat_  Рік тому +1

      Check VIF after running the OLS. That is run the regress command and then run the vif command.

  • @duventurac
    @duventurac 4 місяці тому +1

    Komal you video is am,azing, however, it was not clear for me which values represent high or low multiocolinearity

  • @user-rs8kh5nz6f
    @user-rs8kh5nz6f 8 місяців тому +1

    i couldn't use the vif in fixed effect panel data multiple regression ? how can i do so ?

  • @poojagodara3786
    @poojagodara3786 2 роки тому +1

    fabulous ma'am ,🤩🌸

  • @MuhamadRizkiKarimamrulloh
    @MuhamadRizkiKarimamrulloh 5 місяців тому +1

    prof my model is pased the multicol by VIF,
    but after hausman test the selected is fixed effect, do i have to recheck the Multicol after fixed effect regression by doing VIF uncentered?
    because the result is different
    thanku syukriyaa

    • @komalkanwarshekhawat_
      @komalkanwarshekhawat_  4 місяці тому

      No need to check again. Just mention the VIF values obtained under the said model.

  • @user-km3vo9zj9h
    @user-km3vo9zj9h Місяць тому

    thank sir

  • @anshuduhoon3357
    @anshuduhoon3357 Рік тому +1

    hlo mam, n you please tell me when to use uncensored vif or censored vif value for calculation of multicollinearity in the stata

    • @komalkanwarshekhawat_
      @komalkanwarshekhawat_  Рік тому

      To identify the presence of Multicollinearity see censored VIF. However, stata provides with only VIF and 1/VIF values.

    • @anshuduhoon3357
      @anshuduhoon3357 Рік тому

      @@komalkanwarshekhawat_

  • @umaimaismail8767
    @umaimaismail8767 Рік тому +1

    Best one

  • @Sanjivsingh1994
    @Sanjivsingh1994 Рік тому +1

    Mam, What about Multicollinearity in case of Dichotomous variables (or with more than two categories) ?

    • @komalkanwarshekhawat_
      @komalkanwarshekhawat_  Рік тому

      I hope you will find this article helpful.
      www.researchgate.net/post/How_to_test_multicollinearity_in_binary_logistic_logistic_regression

  • @breadpitt2475
    @breadpitt2475 Рік тому +1

    Hi, I checked unit root test and found that some of the variablws are stationary at first and second difference. So in that case when I enter the variables in the command section, should I enter them taking their difference. Thanks

    • @komalkanwarshekhawat_
      @komalkanwarshekhawat_  Рік тому

      No, not necessary.

    • @breadpitt2475
      @breadpitt2475 Рік тому

      @@komalkanwarshekhawat_ Thank you so much. Also, I run the fe model in both stata and eviews, but I get different results 😓

  • @vaishnavibalaji6811
    @vaishnavibalaji6811 Рік тому +1

    Mam kindly upload a video using stata on how to choose between System GMM and Difference GMM method

    • @komalkanwarshekhawat_
      @komalkanwarshekhawat_  Рік тому

      Sure, will soon upload on this one also. In list already. Thanks.

    • @vaishnavibalaji6811
      @vaishnavibalaji6811 Рік тому

      @@komalkanwarshekhawat_ waiting for that video mam it will be really helpful to all the research Scholars. And please tell how to interpret the results of both the GMM models

  • @seamhasankhan7732
    @seamhasankhan7732 2 роки тому +1

    thank you so much mem

  • @obedchanda9907
    @obedchanda9907 Рік тому +1

    Thank you

  • @RinkuRinku-nl5zg
    @RinkuRinku-nl5zg 2 роки тому +1

    👍👍

  • @gagansingh9893
    @gagansingh9893 2 роки тому +1

    👌👌👍

  • @singh-nt7nd
    @singh-nt7nd 2 роки тому +1

    🙏🙏