Structural Equation Model. Model One. Part 1 of 2. STATA

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  • เผยแพร่เมื่อ 18 ก.ย. 2024
  • Data to reproduce the model:
    docs.google.co...

ความคิดเห็น • 39

  • @skazak
    @skazak 10 ปีที่แล้ว +1

    Dear Sayed! Thank you very much! You explain these complex things very smoothly and make them really easily understandable for non English speakers. There are no any videos on SEM in Russian on TH-cam so your material is very valuable for me. I have just started looking into SEM so will proceed to your next lectures with pleasure.

    • @sayedhossain23
      @sayedhossain23  10 ปีที่แล้ว

      Dear Sergey, Happy to know that my model has been helpful to you. Also happy to see you will see more videos on SEM from Hossain Academy. Good luck

    • @coelacantec5331
      @coelacantec5331 6 ปีที่แล้ว

      you're right Sergey Kazakov, mister Hossain explain very well and easily, even the non- english speakers understand without effort, like me who speak Frensh, i watched most of the video done by Hossain and they help me a lot.

  • @dessalegnechanie4734
    @dessalegnechanie4734 7 หลายเดือนก่อน

    Excellent and clear, Keep it up

  • @meshackamimo1945
    @meshackamimo1945 9 ปีที่แล้ว +1

    Prof,
    Happy new year 2015!
    You made my year 2014.
    This talk is wonderfully done, obviously, as with all your other TH-cam uploads.
    Kindly post some talk on propensity score matching for us slow learners.
    God bless you, sir.

    • @sayedhossain23
      @sayedhossain23  9 ปีที่แล้ว

      meshack amimo You are welcome. You are welcome to join Hossain Academy facebook to share with us your experiences and knowledge. Thank you Sayed Hossain. The link is given below to join Hossain Academy facebook

    • @sayedhossain23
      @sayedhossain23  9 ปีที่แล้ว

      facebook.com/groups/hossainacademy

  • @2025sex
    @2025sex 10 ปีที่แล้ว

    Actually your presentation is very simple and easy to grasp, even a beginner will apply it effectively.

    • @sayedhossain23
      @sayedhossain23  10 ปีที่แล้ว

      Thank you. You can see data to reproduce result at Hossain Academy website at www.sayedhossain.com

  • @unlu100
    @unlu100 10 ปีที่แล้ว

    I found the video is usefuly and instructively. Former I didn't know anything about this topic, I learnt a lot of things and applying. Thanks to Sayed Hossain for all videos.

    • @sayedhossain23
      @sayedhossain23  10 ปีที่แล้ว

      You are welcome. If you have time, leave a comment in Hossain Academy guest book

    • @unlu100
      @unlu100 10 ปีที่แล้ว

      Ok dear Sayed! As soon as possible I will try to do it. Sincerelly yours.

  • @alexissalvadorloye4655
    @alexissalvadorloye4655 9 ปีที่แล้ว +1

    Thanks Professor for sharing knowledge on SEM. God bless you!

    • @sayedhossain23
      @sayedhossain23  9 ปีที่แล้ว

      +Alexis Salvador Loye Thank you. I would like to invite you to join Hossain Academy Facebook for greater interaction about economics, finance and econometrics with me. Thank you Sayed Hossain from Hossain Academy. Please join below and post your question.tps://facebook.com/groups/hossainacademy/

  • @GurmeetKaur-ro6rl
    @GurmeetKaur-ro6rl 2 ปีที่แล้ว +1

    I LOVE UR EXPLAINATION

  • @OscarPerez-jv1he
    @OscarPerez-jv1he 8 ปีที่แล้ว

    Excelent presentation os SEM, thak you Hossain. Please continue with this effort.

    • @sayedhossain23
      @sayedhossain23  8 ปีที่แล้ว

      +Oscar Pérez
      Thank you. I would like to invite you to join Hossain Academy Facebook for greater interaction about economics, finance and econometrics with me. Thank you Sayed Hossain from Hossain Academy. Please join below and post your question.facebook.com/groups/hossainacademy/

  • @EroneInnocent
    @EroneInnocent 5 ปีที่แล้ว

    Thanks for the simplicity.

  • @trknigatu
    @trknigatu 9 ปีที่แล้ว

    Very helpful for beginners of SEM like me.

    • @sayedhossain23
      @sayedhossain23  9 ปีที่แล้ว

      Tariku Bogale

      Dear Tariku, Thank you for subscribing Sayed Hossain
      Channel. You are welcome to join Hossain Academy Facebook (A part of Sayed
      Hossain Channel) to discuss about data analysis, econometrics and statistical
      model. The link is given below. Thank you Sayed Hossain
      facebook.com/groups/hossainacademy/
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  • @GurmeetKaur-ro6rl
    @GurmeetKaur-ro6rl 2 ปีที่แล้ว

    THANK YOU SIR

  • @safameddeb5965
    @safameddeb5965 2 ปีที่แล้ว

    Thank you professor for this video.i would like to ask if we can use RMSEA, CFI, TLI instead of likelihood ratio as good fitting model tests?

  • @deeg1385
    @deeg1385 5 ปีที่แล้ว

    thank you, Prof so is it possible to use panel data and regress more than 3 variables when dealing with SEMs. Thank you

  • @ajayisam3118
    @ajayisam3118 2 ปีที่แล้ว

    Prof, your tutorials have been helpful to me. Nevertheless, I run a confirmatory factor analysis test, on result pale, I could see both standardized and unstandardized estimates whenever I requested for it but on the path diagram, it was only unstandardized estimates that were displaying even when I clicked the 'report standardized estimates. Can you assist to know what was wrong?
    Thanks

  • @glacervasquez2164
    @glacervasquez2164 7 ปีที่แล้ว

    Thanks, Professor! I would like to ask how does one recover the structural shocks after estimating the svar.

    • @sayedhossain23
      @sayedhossain23  7 ปีที่แล้ว

      Dear Glacer, Thank you. I would like to invite you to join Hossain Academy Facebook at below link and post your question there for feedback. Thank you, Sayed Hossain from Hossain Academyfacebook.com/groups/hossainacademy/

  • @biladealyamen9033
    @biladealyamen9033 4 ปีที่แล้ว

    How can we used eviews for Simultaneous Equations Models?
    thanks a lot
    <

  • @umavengat
    @umavengat 10 ปีที่แล้ว

    Crystal clear Sayed, Can i know the name of the software used here and further explanation of standardised estimates too..

    • @sayedhossain23
      @sayedhossain23  10 ปีที่แล้ว

      Venkatachalam Uma I am here using STATA software

  • @swtgirlofmine
    @swtgirlofmine 7 ปีที่แล้ว +1

    Thank you for your lecture, Mr Hossain. Can I ask the way to SEM analysis with panel data? I have a panel data excel file(the data is set by panel style) and wondering if it's no problem do the same way like your lecture. If you can, please tell me how to do the data setting and SEM with it. God bless you!

    • @sayedhossain23
      @sayedhossain23  7 ปีที่แล้ว

      Thank you. I would like to invite you to join Hossain Academy Facebook at below link and post your question there for feedback. Thank you, Sayed Hossain from Hossain Academy
      facebook.com/groups/hossainacademy/

    • @AGhulam73985
      @AGhulam73985 6 ปีที่แล้ว +1

      i am working on it. for that u need to convert data to wide ans then u can look for cross lagged effects

  • @jagannath9777
    @jagannath9777 9 ปีที่แล้ว

    Dear Prof. ... Thanks for your videos. Please suggest me how to deal with the structural regression estimation with multicolinearity problem.

    • @sayedhossain23
      @sayedhossain23  9 ปีที่แล้ว

      Jagannath Mallick Eliminate those variables which are highly correlated and run the model again.

    • @jagannath9777
      @jagannath9777 9 ปีที่แล้ว

      Sayed Hossain Dear Prof. thank you very much for your suggestions. Also for structural VAR, should I eliminate the highly correlated varriables?

    • @sayedhossain23
      @sayedhossain23  9 ปีที่แล้ว

      In all cases

  • @iliyasahmadshaikh1908
    @iliyasahmadshaikh1908 5 ปีที่แล้ว

    Sir nice knowledge, can you provide SEM is all about what pls.

    • @sayedhossain23
      @sayedhossain23  5 ปีที่แล้ว

      Thank you. I would like to invite you to join Hossain Academy Facebook Group at below link and join our group discussion. Thank you. Sayed Hossain from Hossain Academy.

    • @sayedhossain23
      @sayedhossain23  5 ปีที่แล้ว

      Thank you. I would like to invite you to join Hossain Academy Facebook Group at below link and join our group discussion. Thank you. Sayed Hossain from Hossain Academy. facebook.com/groups/hossainacademy/