Second Generation Panel Unit Root Test || EViews Tutorials || CADF || CIPS || PANIC

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Second Generation Panel Unit Root Test
This video explains how to run the Second Generation Panel Unit Root Test or check Stationarity of a series in E Views for a Panel Data in case of Cross Sectional Dependence.
1. Firstly, the video explains how to find out whether the Panel Data set is cross sectionally dependent or not.
Watch this video also on Cross Sectional Dependence Test in EViews-
• Unit Root Test in E Vi...
2. Secondly, the video explains the significance of the Second Generation Panel Unit Root Test.
3. Thirdly, the video explains step by step how to run the Second Generation Panel Unit Root Test in EViews.
The video explains all the test under Panel Data viz:
1. BAI and Ng- PANIC
2. CADF
3. CIPS
- Finally, the video explains how to interpret the results for the Second Generation Panel Unit Root Test obtained in E Views.
Link to join telegram channel: t.me/kshekhawat
To learn how to arrange Panel data in Excel file before importing in E Views watch this video- • Panel Data| How to arr...
To learn how to obtain descriptive statistics of a Panel data in E Views watch this video- • How to Interpret Descr...
Thanks for watching!
Happy Learning :)
#paneldata #unitrootrest #stationary #eviews #eviewstutorial #paneldataanalysis
#secondgenerationpanelunitroottest

Опубликовано:

20 сен 2024

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Комментарии : 47

@AyaKhater-yn4cb 3 месяца назад

Ma'am, I guess this was a mistake at 10.35 onwards. You said since p0.05, yes we do not reject H0, meaning that in the case of stationarity, we would ACCEPT H0 (not H1), that is, data has a unit root or is non-stationary. I think you need to clarify this, as it will lead to a lot of confusion for others watching this video.

@dr.pahlajmoolio1833 23 дня назад

You are correct.

@bellisma77 Год назад

One of your great videos. What if CADF shows different p-values for different cross sections as showed in your example? How to interpret the result of CADF here! Thanx

@bbaed 17 дней назад

Thank you for your favor and reply, I have installed Eviews 12 and this option was shown to me. but my data is an unbalanced panel, and Eviews gave an error that this test (panel unit root with cross-sectional dependence) cannot be performed for an unbalanced panel. Please introduce me to the link of the video where you have taught the unit root test test (the second generation of the unit root test, with cross-sectional dependence) for the unbalanced panel. I looked for it myself, but I didn't find anything, thanks. My emphasis is on the unbalanced panel.

@abrahamtetteh5007 5 месяцев назад

Insightful. Thank you for sharing I'm having an error message that says automatic lag selection encountered an error most likely due to insufficient observation... Working on 10 years across 60 firms

@komalkanwarshekhawat_ 5 месяцев назад

Cross sections are too large in number. Pls increase the time span.

@enriqueguardado2123 Год назад

Excellent video, could you tell us wich version of Eviews you are using ? can you explain how to apply 2nd generation panel unit root test in stata? plis

@komalkanwarshekhawat_ Год назад

Thank you! I'm using EViews SV 12.

@ahmedmahmoudi5986 2 года назад

Great video, Thanks so mush 😊 i have a question, when using CIPS and CADF tests how can i check for the 1 difference and 2 difference ? i dont see the option to do it in eviews

@komalkanwarshekhawat_ 2 года назад

Thanks for your kind words. Second generation panel unit root test option is available in EViews 12 and new versions only. However, To the best of my knowledge, I couldn't locate this aspect in EViews 12. Still, You can perform first and second difference for CADF and CIPS in Stata. Good day!

@mynameisjoejeans Год назад

Great video, thanks very much. What does it mean if my data shows no cross-sectional dependence when I don't include the trend and constant, but if I include them, then it shows very strong cross-sectional dependence?

@komalkanwarshekhawat_ Год назад

Then there is a presence of cross-sectional dependence.

@bbaed 21 день назад

Hello and thank you for your scientific and valuable content, I need this answer urgently. thanks. At minute 5:51, when your mouse is on the unit root test, a small black triangle can be seen on the right side of the unit root, which shows two separate parts: 1. cross-sectionally dependent 2. cross-sectionally independent But for me, in my eviwes it is not displayed like that, and two options 1. cross sectionally dependent 2. cross-sectionally independent Is it not displayed !! My Eviews is version 11, what is the cause of this problem?

@komalkanwarshekhawat_ 19 дней назад

This option is available in Eviews 12.

@bbaed 18 дней назад

@@komalkanwarshekhawat_ Thank you for your favor and reply, I have installed Eviews 12 and this option was shown to me. but my data is an unbalanced panel, and Eviews gave an error that this test (panel unit root with cross-sectional dependence) cannot be performed for an unbalanced panel. Please introduce me to the link of the video where you have taught the unit root test test (the second generation of the unit root test, with cross-sectional dependence) for the unbalanced panel. I looked for it myself, but I didn't find anything, thanks. My emphasis is on the unbalanced panel.

@vijaykumarmodi3342 9 месяцев назад

So you say that if the test does not satisfy with constant and then go with trend? Ok leaving it aside and then you forgot about specifyig at level and first difference. You missed the lag selection process and also the results what you found with your data is not relevant what you said !!!

@econfact 9 месяцев назад

Here p value is greater than 0.05, so how can we accept the alternative hypothesis (10.40-11 time of streaming) pls. Check it. As per my knowledge we have to accept the null hypothesis.

@komalkanwarshekhawat_ 8 месяцев назад

Dear, the interpretation is that- This last table provides the result of the Pooled version of individual ADF test statistic in the previous table. Due to very high value we cannot reject the Null Hypothesis. We cannot reject the Null Hypothesis that- All of the variables are simultaneously not cointegrated.

@jena-u3m 2 года назад

Thank you so much, i have a question (how to run the first and second difference for CADF and CIPS tests?)

@komalkanwarshekhawat_ 2 года назад

Second generation panel unit root test option is available in EViews 12 and new versions. However, To the best of my knowledge, I couldn't locate this aspect in EViews 12. Still, You can perform first and second difference for CADF and CIPS in Stata. Good day!

@anuradhasaikia9305 Год назад

I am not getting the cips and panic test in the unit root tests window . only adf and other tests

@komalkanwarshekhawat_ Год назад

Try running again. The options must be there.

@aminaahmedalibelal5676 Год назад

Thanx Thanx Thanx

@komalkanwarshekhawat_ Год назад

Your welcome 😊

@hamedsayed-f1z Год назад

thank you so much

@komalkanwarshekhawat_ Год назад

Welcome! Keep following 👍

@Varneshghildiyalvibhu 10 месяцев назад

mam please clear me that if the p value is more than .05 that means the variable is stationary in second genration unit root test?

@komalkanwarshekhawat_ 10 месяцев назад

No, it doesn't. If p value is greater than 0.05, this means that the variable is not stationary at 5% level of significance. However if the p value is more than 0.05 but less than 0.10, you can state that the variable is stationary at 10% level of significance. But if it is more than .10, the variable is not stationary. We are conducting a Panel Data Analysis Workshop on 25/26 Nov. You may register if you wish to. Link- forms.gle/3R5CkRT1gJpGjrVv5 Also join my telegram group for further updates - t.me/kshekhawat

@Varneshghildiyalvibhu 10 месяцев назад

@@komalkanwarshekhawat_ thanKyOu ma'am. if the data is not getting stationary in second unit root test can't we run 1st difference and second difference on second generation unit root test? or we can conclude that the data is not getting stationary at level and assume to be stationary at 1st differnece and 2nd difference after converting into log form?

@komalkanwarshekhawat_ 9 месяцев назад

@@VarneshghildiyalvibhuYou are interpreting it in the wrong way. The second generation unit root test is performed when there is presence of cross-sectional dependence.

@gagansingh9893 2 года назад

👌🏻👌🏻

@komalkanwarshekhawat_ 2 года назад

🤗🤗

@aminaahmedalibelal5676 Год назад

I have a question plz. If i regress the series on its own trend and found it significant on trend and constant. Does this indicate that i must choose the constant and trend option in this case? Thanks

@komalkanwarshekhawat_ Год назад

Yes!

@mohammadhelalallail6228 Год назад

thanks mam, i am following the steps and i am getting this error message "Automatic lag selection encountered an error most likely due to insufficient observations." what may i do mam

@komalkanwarshekhawat_ Год назад

The number of observations are very few and maybe you are taking more lags. Hence the error - insufficient observations. Meaning, the observations are so less after automatic lag selection that the analysis cannot be performed.

@aminaahmedalibelal5676 Год назад

in CADF test , what if some of the cross sections exhibit non stationary? how can we interpret the result here for this specific variable? Thank you

@komalkanwarshekhawat_ Год назад

Check whether it is stationary at first difference or not ?

@bellisma77 Год назад

@@komalkanwarshekhawat_ my data exhibits cross sectional dependence, so i used the 2nd generation unit root tests CIPS and CADF to test stationary using Eviews. CADF is giving me values/ pvalues for each cross section. How to interpret the results?