ARIMA models in Stata - Part 2: Estimation

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  • เผยแพร่เมื่อ 2 ธ.ค. 2024

ความคิดเห็น • 29

  • @bulelanjemla7894
    @bulelanjemla7894 23 วันที่ผ่านมา +1

    Best time series "lecturer" 🙇‍♀️

    • @JDEconomics
      @JDEconomics  23 วันที่ผ่านมา

      Thanks a lot!

  • @JDEconomics
    @JDEconomics  3 ปีที่แล้ว +5

    Hello Everyone! Thanks for Watching!
    Video 1: ARIMA models in STATA - Part 1: Identification
    🌐Link: th-cam.com/video/pquD3OjeLFU/w-d-xo.html
    Video 3: ARIMA models in STATA - Part 3: Diagnostics and Forecasting.
    🌐Link: th-cam.com/video/qavFKfUAZe4/w-d-xo.html
    📣 Tutorial is also available in EViews: th-cam.com/video/ukGJ0sLgbqI/w-d-xo.html
    --------------------------------------------------------------------------------------------
    ✅ Patreon: Support my channel for more content creation and get special deals and members bonus (such as help in your research and material downloads): www.patreon.com/JDEconomics
    ✅ Get the DO files + Slides + Dataset at: payhip.com/b/Mj2v
    ✅ The tutorial is also available in EViews: th-cam.com/video/ukGJ0sLgbqI/w-d-xo.html
    ✅ Subscribe to my channel by clicking: th-cam.com/channels/5P21WGFO4WRUlAiGLcwymg.html
    ✅ You can get access to all the EViews Workfiles, DO files (STATA) and Slides from my videos at: payhip.com/JDEconomics
    Thanks a lot!
    JD Economics.

  • @temitopeerinfolami3358
    @temitopeerinfolami3358 3 ปีที่แล้ว +2

    Very beautiful explanation. For the first time, I got the whole explanation around ARIMA. Thank you

    • @JDEconomics
      @JDEconomics  3 ปีที่แล้ว +1

      Thanks Temitope! I am glad to hear so! Feel free to subscribe to my channel for more videos coming and share with those who may be interested. I wish you good luck in your studies!
      Regards,
      JD

  • @wilsonyeswa4993
    @wilsonyeswa4993 ปีที่แล้ว +1

    very informative looking forward for more insights

    • @JDEconomics
      @JDEconomics  ปีที่แล้ว

      Awesome, thank you! Feel free to subscribe to my channel (it’s free!) ,
      Regards

  • @tsuirin789
    @tsuirin789 3 ปีที่แล้ว +1

    Thank you for making these videos. They've been immensely helpful in providing a wholistic view of the topics and giving more clarity.

  • @helenkeller3254
    @helenkeller3254 2 ปีที่แล้ว +4

    what about when p and q are not statistically significant in ARIMA model?

  • @sandipprabhu
    @sandipprabhu 3 ปีที่แล้ว +3

    Excellent explanation, to the point!

  • @annnjeri6959
    @annnjeri6959 8 วันที่ผ่านมา

    How can i drop an insignificant lag in a model arima(7,0,5) without ar lag 3 & 5

  • @kanchandatta4668
    @kanchandatta4668 2 ปีที่แล้ว +2

    Nice explanation

  • @bitanyagebremichael9600
    @bitanyagebremichael9600 2 ปีที่แล้ว +1

    If a lag is statistically insignificant, should we remove it? E.g. if the P-value of the MA lag 1 had p-value = 0.063, should we take it out, and choose the model: ARIMA(1,1,0)?

    • @JDEconomics
      @JDEconomics  2 ปีที่แล้ว

      Sure! You can do that. In that case, you have an ar(1) model. Cheers

  • @bitanyagebremichael9600
    @bitanyagebremichael9600 2 ปีที่แล้ว

    So the p-value for the constant in my differenced CPI (d.CPI) regression was 0.00... so I included a constant in my ARIMA model. But then, the p-value of the constant was the ONLY insignificant p-value in my ARIMA model. What should I do?
    Thank you

  • @abalhassanesilahi9466
    @abalhassanesilahi9466 11 หลายเดือนก่อน +1

    EXCELLENT

    • @JDEconomics
      @JDEconomics  11 หลายเดือนก่อน

      Many thanks!

  • @dosenwibu
    @dosenwibu 10 หลายเดือนก่อน +1

    hi, the link for purchase does not work

    • @JDEconomics
      @JDEconomics  10 หลายเดือนก่อน +1

      Thanks. Here is the link:
      jdeconomicstore.com/b/arimastata

  • @raphaelrodrigues8248
    @raphaelrodrigues8248 ปีที่แล้ว

    How to do seasonal adjustment in stata?

  • @juliusrelampagos9780
    @juliusrelampagos9780 ปีที่แล้ว

    Thank you for these videos, very good explanation. In the Table of Model Selection Criteria, the values you included in SigmaSQ are actually the estimated standard deviation of the white-noise disturbance term. Shouldn't you square these values to arrive at SigmaSQ or estimated error variance?

    • @JDEconomics
      @JDEconomics  ปีที่แล้ว

      Thanks for the observation! Make sure to check the whole Free stata course at my website: www.jdeconomics.com
      Regards,
      JD

  • @MrMahir1993
    @MrMahir1993 ปีที่แล้ว

    Hello. What if the after-estimating ARIMA model p-value for AR or MA is insignificant? Can we keep working on our data? ARIMA (1,1,0) model

    • @MrMahir1993
      @MrMahir1993 ปีที่แล้ว

      i did not include suppress constant term

  • @zoozolplexOne
    @zoozolplexOne 2 ปีที่แล้ว +1

    cool !!!

    • @JDEconomics
      @JDEconomics  2 ปีที่แล้ว

      Thanks for the feedback! Best Regards!