ARIMA models in Stata - Part 1: Identification

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  • Опубликовано: 27 окт 2024

Комментарии • 55

  • @JDEconomics
    @JDEconomics  3 года назад +5

    Hello Everyone! Thanks for Watching!
    ✅ You can get the DO files + Slides + Dataset at
    jdeconomicstore.com/b/arimastata
    Video 2: ARIMA models in STATA - Part 2: Estimation
    🌐Link: ruclips.net/video/mPDNH-rA4OQ/видео.html
    Video 3: ARIMA models in STATA - Part 3: Diagnostics and Forecasting.
    🌐Link: ruclips.net/video/qavFKfUAZe4/видео.html
    📣 Tutorial is also available in EViews: ruclips.net/video/ukGJ0sLgbqI/видео.html
    ------------------------------------------------------------------------------------------
    ✅ If you liked the content and would like to support more free content creation, please subscribe to my RUclips channel by clicking:
    ruclips.net/channel/UC5P21WGFO4WRUlAiGLcwymg
    ✅ You can get access to all the EViews Workfiles, DO files (STATA) and Slides for any of my videos at:
    jdeconomicstore.com/
    Thanks a lot!
    JD Economics.

    • @Dilaram123
      @Dilaram123 4 месяца назад

      my question is if we have to perform transfer function approach in our data set and the stata dont have a built in commands like "transfer" so we have to rely on ARIMA (p,d,q) approach. how we can perform it please guide us on transfer function approach as stata does not have built in features to conduct such operations

  • @toastmyshoes6396
    @toastmyshoes6396 6 месяцев назад +1

    This video is so clear and well explained. Thank you so much!

    • @JDEconomics
      @JDEconomics  6 месяцев назад +1

      Glad it was helpful!

  • @kimgradel269
    @kimgradel269 2 года назад +1

    Very nice instructions that get to the points immediately. Just had to get use to your charming Spanish accent, but after overcoming this "obstacle" no problems whatsoever!

  • @simonhan9932
    @simonhan9932 2 года назад +2

    This video deserve so much more views and likes it has now! It is well structured and clear, thank you so much!

    • @JDEconomics
      @JDEconomics  2 года назад

      Thanks for your kind feedbacks! Feel free to share the video with your close ones! Best regards, JD

  • @sandipprabhu
    @sandipprabhu 3 года назад +2

    Excellent video, very well explained, absolute clarity of concepts. Keep it up. Looking forward to more such videos.

    • @JDEconomics
      @JDEconomics  3 года назад

      Thanks for your message! I am Glad you liked it! Feel free to subscribe to my channel for more videos coming!
      Kind Regards,
      JD Econ.

  • @geetaraniduppati433
    @geetaraniduppati433 5 месяцев назад

    Great. This video is very helpful. Thank you very much. Very much appreciate your time and effort

  • @pawalucious89
    @pawalucious89 Год назад +1

    Well explained. Time series demystified

  • @likesseasaltice
    @likesseasaltice 2 года назад +1

    Love this! Absolute Great Video!

  • @carlosvalencia431
    @carlosvalencia431 3 года назад +3

    Hello @JDEconomics. How can I thank you, in my thesis? Today I received the approval for my Thesis to be published and therefore I shall received my degree. I used this series of videos throughout the whole process, and I want to thank you.

    • @JDEconomics
      @JDEconomics  3 года назад +1

      Hello Carlos, Thanks for your message! I am really happy to hear you have nailed your thesis! Knowing that you did great is the best payment I can receive. I am glad it helped you, and feel free to share the channel in your social media. You can contact me at jdeconomics.inquiries@gmail.com in case you need further details.
      Best Regards, and congratulations!

  • @shahzadiqbal1799
    @shahzadiqbal1799 2 года назад +1

    Absolutely amazing videos. Thank you very much

    • @JDEconomics
      @JDEconomics  2 года назад +1

      Thanks for your feedback! I am glad you like them. Regards, JD

  • @idowuoluwaremilekunoyeyemi4454
    @idowuoluwaremilekunoyeyemi4454 3 года назад +2

    Well explained

    • @JDEconomics
      @JDEconomics  3 года назад

      Thanks for your feedback! Feel free to subscribe to the channel for more content and check my website www.jdeconomics.com
      Kind regards,
      JD

  • @prodbyalves
    @prodbyalves 9 месяцев назад

    Hi there, thank you for the video explanation! Cleared it up nicely for me! However, do you have a video where you go over the effect of parsimony or why we shouldn't include higher lags in our model, or is there a simple explanation?

  • @waqaralikhan3026
    @waqaralikhan3026 3 года назад +2

    How to say thanks.
    Content Excellent
    Presentation Excellent
    Video / Audio Excellent
    Everything Excellent

    • @JDEconomics
      @JDEconomics  3 года назад

      Hello! Thanks for your positive feedback. Giving a like to the video and sharing it with others already helps me a lot! If you still want to thank in a monetary way, there is a paypal link in the description or you can buy the Do File of the tutorial as well. Thanks again for watching and providing a nice feedback! Good luck! JD

    • @markuschapelle4660
      @markuschapelle4660 3 года назад +1

      I Agree! Great Tutorial!

  • @TÔMTIÊNYÊN
    @TÔMTIÊNYÊN Год назад +1

    THANK YOU VERY MUCH 🤩🤩🤩

  • @jhangirtanveer1422
    @jhangirtanveer1422 Год назад +1

    Love you Sir.

  • @jhangirtanveer1422
    @jhangirtanveer1422 Год назад +1

    I have subscribed :)

  • @subhasishdas9045
    @subhasishdas9045 Год назад

    In my model, no lag is exceeding the confidence band, both in acf and pacf. What should I do?

  • @naimatououedraogo1921
    @naimatououedraogo1921 3 года назад +1

    Hi, thank you for the videos. However, I am wondering if the significance tests of the constant and the trend should not be read on the table of Dickey Fuller. If so, the trend is not significant as the t-value is less than that on the Dickey-Fuller table.
    Thanks!

    • @JDEconomics
      @JDEconomics  3 года назад

      Hi, Thanks. You should try with all the specifications. I just focused more on the arima model itself than the unit root test. Regardless of the specification, it will suggest that the series is non stationary. Thanks again! Regards,, JD

  • @sh3il4aa50
    @sh3il4aa50 2 года назад +1

    Hi, love your video, it's really helpful. I am trying to use ARIMA model to forecast the closing price of a stock. However, it is hard to tell the p and q through the acf and pacf plots because there are lots of lags exceeding the confidence band, and it's usually not the first few lags, but rather the latter ones. Same things happened using Eviews. Is there any other ways that I can determine the p and q?

    • @JDEconomics
      @JDEconomics  2 года назад +1

      It may have a seasonal component. You may need a sarima model. Cheers

  • @shelanhaji3528
    @shelanhaji3528 Год назад

    interesting video about time series, is Box Jenkins nowadays widely used? if not what are the latest models in time series one can use for forecasting?

    • @JDEconomics
      @JDEconomics  Год назад

      Hey, Arima models are widely used. The box jenkins method is just a guide for proper model selection. People who work with Arima, normally follow those foundations. Best, JD

    • @shelanhaji3528
      @shelanhaji3528 Год назад

      @@JDEconomics thank you so much

  • @TamaBiswas-zy7ry
    @TamaBiswas-zy7ry Год назад +1

    Dear sir, can I get this dataset,that you use here??

    • @JDEconomics
      @JDEconomics  Год назад

      Yes. here is the link: www.jdeconomics.com/stata-tutorials/arima-models-in-stata
      Please note that the link was already in the decription of the video.
      Have a nice day! JD

    • @TamaBiswas-zy7ry
      @TamaBiswas-zy7ry Год назад +1

      @@JDEconomics thank you.

  • @kylmaz5782
    @kylmaz5782 Год назад

    Hello. Your content is very good. I want to consult you about something. What analysis should we do in the Stata program to find the average annual growth rate of per capita income in 2000-2020? For example, let's say we have a data set like this: Years; 2000 - 2001 - 2002 - 2003 - 2004, Revenue (thousand dollar); 10 - 12 - 13.5 - 14.2 - 17. If we want to comment on the average growth rate for these 5 years, which statistical model will we use in Stata?

  • @bitanyagebremichael9600
    @bitanyagebremichael9600 2 года назад

    Hi! My dissertation is due in 2 days, I reallyyyyyyyy hope you see my question

  • @elispot17
    @elispot17 2 года назад

    Hi, great video, in my case I am dealing with precipitation and discharge (flow) time records. However, I have some monthly and year missing values in my data historical records. So, I am not sure if I can apply some of the model that you applied in order to fillout missing values in my historical data. Regards

  • @rwaewae
    @rwaewae 3 года назад +1

    Hi, Could you pls help me learning bayer & hanck cointegration in stata or eviews. thanx

    • @JDEconomics
      @JDEconomics  3 года назад

      Hi, thanks for your message. I will add your request to the list of videos to make. Thanks!

  • @valeelghaouth6904
    @valeelghaouth6904 2 года назад

    Hi i wanna know what does L in the dickey fuller and the other tests stand for ? U didn’t talk about it u only talked about trend and constant. And how is it interpreted ? Can it tell whether the serie is stationary or not ? Thanks ?

    • @JDEconomics
      @JDEconomics  2 года назад

      Hi, that’s the coefficient of the lag. By default Stata will use one lag, but you can specify as many lags as you wish. The option is “, lags(n)”. You can review the manual for the commands, here it is: www.stata.com/manuals/tsdfuller.pdf Also. I suggest that you read how the Dickey Fuller statistic is obtained, as you will see what the lags specifically are. The software Eviews uses some statistics criterions to automatically select the lags. Kind Regards, JD

  • @bitanyagebremichael9600
    @bitanyagebremichael9600 2 года назад

    When I did this in stata for my data (inflation elsewhere) ADF gave me P-value greater than 0.05. But Phillips-Perron gave me p-value less than 0.05. So what does this mean? Is my data stationary or non-stationary?? Thank you (If anyone in the comments also knows please tell me!)
    Thanks

  • @kongher3486
    @kongher3486 2 года назад

    Dear sir, could you explain for me about arimax model in stata?

  • @addiwafae5420
    @addiwafae5420 3 года назад +1

    Hi please what can do when we can't apply an arima models???? Thanks

    • @JDEconomics
      @JDEconomics  2 года назад

      Hi, ARIMA is just one type of estimation method for the mean. You can always try other methodolgies (i.e., multiple linear regression, vector autoregression, etc.) Warm Regards, JD

    • @addiwafae5420
      @addiwafae5420 2 года назад

      @@JDEconomics thank you