(EViews10):Estimate Johansen Cointegration Test #var #vecm #Johansen #cointegration

This video shows you how to perform the Johansen cointegration test using EViews10. After performing stationarity test, there are three (3) likely outcomes: the series may turn out to be I(0), I(1) or a combination of both. So what do you do next? This hands-on tutorial shows you what to do in EViews10 when series are I(1), that is, first difference-stationary series.

Follow up with soft-notes and updates from CrunchEconometrix:

[CrunchEconometrix]

YouTube recently changed the way my content will be monetised. My channel now needs 1, 000 subscribers. So it would be amazing if you show your support by both watching my videos and subscribing to my channel if you haven’t done so already. Monetising my videos allows me to invest back into the channel with some new equipment so this small gesture from you will be extremely huge for me. Many thanks for your support….CrunchEconometrix loves to teach, help me stay online.

[mohammedgebrail]

Thank you dear. i am Econometrician from Sudan. I do support you because what you have posted is 100% refined and solid with almost zero error. All interested Students, specially from Africa are encouraged to follow your tutorials, for sure, i will let my students joining your group of the followers around the globe. I have many friends from all Africa, i will be proud to be one of them.

[mmworks.]

Watching your video for the first time today got me really excited and interested in learning more econometrics. I've decided to watch every lesson you've ever thought online. Dr Adeleye you are a blessing, please keep doing this great job. THANK YOU

[s.childofgod]

You are a Godsend
Thank you madam 💕🙏🏾
From Haïti 🇭🇹

[bellabae]

My first time learning such econometrics stuff but I'm getting the understanding so quick and easy. Thanks darling for the videos

[gauchodino]

Madam, Its as if you are god sent! These tutorials are exactly my homework. Only explained in a manner that much more coherent than my lectures. i have learned more in your videos than I did in my uni course! God bless you!

[MonikaKalani]

Dr Adeleye, i am grateful to you for your videos. You explain in such a beautiful manner that even a layman can understand the technical aspects of the topic. Thank you so much for making such beautiful videos. These were a great help in taking a step forward in my Ph.D. I request you to please make videos on SVAR, TVP-SVAR, Trimmed mean too. These techniques are often used and barely any help is available on these topics. Thankyou so much for helping people like me.

[aartinegi]

Thank you very much for these simple and highly informative vedios on econometrics 😊😊

[dhamodharanmarudhaachalam]

Nice video. Well explained in simple terms. Thank you. Keep posting. Good luck and God bless you

[lelethusandla]

I wasn't able to access the data set using the google drive, I love your videos they have helped me a lot with my studies I'm currently doing my Post Graduate Diploma in Applied Economics

[ChixyChanda]

From Zambia here, thank you for your videos, really helpful 👏

[afrakilic]

Your content is mind blowingly good!!!

[WuutDafuq]

Thank you so much for your videos, you're a wonderful teacher ! 😊

[dataanalysiswithveronicabr]

I love your channel. I am from Nigeria.

[fakhput]

great content! i'm a student from Malaysia! keep up the good work madam!

[rinalee]

i think your video is very well constructed@!

[TheDominock]

Thank you! I find the recording useful and will certainly utilize the knowledge obtained from it in my thesis. My thesis is about the short-run and the long-run effects of foreign direct investment (FDI) on economic growth in a set of countries using panel data (10 countries, 20 years of annual observations each). I was wondering how I can distinguish short and long-run relationships but it turns out that the VAR model would be an answer for the short-run and the VEC model for the long run. Even better - you've already published videos on those too - awesome!

I am slightly lost in all of those assumptions that need to be satisfied to conduct those tests. For instance, in order to use OLS, that are supposed to be used in my final linear regression model, I need to fulfill the OLS assumptions. I would certainly begin with conducting the ADF test to detect unit roots, to achieve stationarity. I am thinking about estimating the VIF model to detect multicollinearity too, but I have also read that differencing the data can help me get rid of the multicollinearity issue, by achieving stationarity. Beyond what I wrote above,
1) could you please clarify if while estimating the final linear regression model, is it a good or bad sign when the variables are cointegrated - or perhaps it has nothing to do with 'good' or 'bad' and merely implies the long or short-run relationship?

[asfiabinteosman]

I realle love the way you explain. Here İn the notes you said that appropriate estimation technique would be ARDL and ECM in no.4. But at the end you said VAR and ECM. Which öne is correct? Pls response to my query. Keep up the good job👏

[juliexken]

Thank you so much for this extremely informative information. I have a question, please: if some of my time series variables are I(0) and some are I(1) is VAR no longer an appropriate model of choice? I know I can use ARDL in this case (thanks to watching your videos) but I wanted to confirm that VAR is inappropriate for the mixed-order time series variables that I am working with.

[thejay]

Hi, I'm currently using Eview 13 and the selection criteria for deterministic trend assumption is different than what you have in this video. May I know which one I should select? (as in your video you choose no.3 which no longer available in Eviews 13)