Granger causality test in R Studio

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  • เผยแพร่เมื่อ 7 ต.ค. 2024
  • Hello friends,
    Hope you all are doing great!
    This video describes how to conduct Granger causality test in R Studio. In the next videos, we would learn how to select appropriate lags for Granger causality tests.
    I have used R Studio here. But you can use Stata, , Eviews or even MS Excel to compute F-test.
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    sarveshwarinani@gmail.com

ความคิดเห็น • 12

  • @YatharthKrishan
    @YatharthKrishan 6 ปีที่แล้ว +1

    Dear Sarveshwar, would like to appreciate your simplicity. You made this very easy for our young learners.

  • @jessicamonica9220
    @jessicamonica9220 2 ปีที่แล้ว

    thank you so much, you helped me a lot!

  • @valensrwema
    @valensrwema 5 ปีที่แล้ว

    Thank u for this informative video , but I have a question, my question is ,what is the purpose of selecting lags and which lags are more good than others. thank u

  • @eduardaferreira7893
    @eduardaferreira7893 6 ปีที่แล้ว

    Thank you from Brazil!! :D

  • @mutindafestus5619
    @mutindafestus5619 5 ปีที่แล้ว +4

    when i fit a var model with more than two variables how can i test granger casuality between any two

  • @515heleng
    @515heleng 7 ปีที่แล้ว

    Thank you for the video :) Very informative!! One question: I tested my data for stationarity and I rejected my null hypothesis of a unit root (but!) in first difference. Can I still use my data to run a granger causality test?

  • @liammartin6793
    @liammartin6793 5 ปีที่แล้ว +2

    the granger test function iss no longer in use in r studio

  • @shakshaki
    @shakshaki 5 ปีที่แล้ว

    How do I know the proper value of order, in my case I want to see the relationship between house prices and Gross Domestic Product ?

  • @zeeshanakhtar3786
    @zeeshanakhtar3786 7 ปีที่แล้ว

    A small question. Your null hypothesis is that X not causing Y. And You are saying if this null hypothesis is rejected then we say X causes Y . However, if the hypothesis X not causing Y fails it doesn't mean X is causing Y. Let me explain a little bit:
    If statement P not causing Q is false then it doesn't mean P is causing Q.

  • @alcidesisaacperaltaocampos466
    @alcidesisaacperaltaocampos466 2 ปีที่แล้ว

    I can unse this test for a panel data?