Thanks. For solving the autocorrelation and heteroscedasticity problems, you can employ robust standard errors. I will try to make a video on a short run and long run model in future.
A chi-square value of 0.00 suggests that the fixed-effects and random-effects models are producing virtually identical results, making it impossible to statistically differentiate between them. However, this does not necessarily validate the random-effects model; it just indicates an inability to perform the Hausman test effectively. How to Solve the Issue 1. Inspect the Data and Models: Check if the independent variables are highly collinear, which could lead to singular matrices. Moreover, ensure there is sufficient variability in the data. 2. Use a Robust Hausman Test: Some software packages, like Stata, offer robust versions of the Hausman test (e.g., xtoverid command) that can handle singularity issues.
Very informative for beginners . lag hi rahi thi awaz jani pehchani ...jab channel pe nazar daudaya to malum hua ye to SZ ke buzurg hain.... Jazakallah
I have employed this methodology in my research papers as well as in thesis. But when I have to use it again, I am not able to recall the whole process. So I decided to record the video for my personal use. But just because of fear that in any case if my laptop stops working due to any reason, i will lose that video, i uploaded it on UA-cam. Till now, i have never promoted my channel or video, and except me and my wife, no one knows that I have a channel on UA-cam.
@@faiziweqar ye to aapki sadgi h Dr. Sb. Lekin aise content jisse logon ko knowledge mile to aise me apko waqt mile to aur effort lagayye aur meri rai me koi harz nahi h isme 🤲
Do i need to run GMM after hausman test going in favour of FEM in panel data analysis? If yes, how to interpret that output? >If in FEM 1 out 4 variables turned out to be significant at 5%; and in GMM, 2 (including that one from FEM) variables turn out to be significant, what to write in conclusion? How to interpret J statistic and prob(j-stat) from GMM?
Thank you so much Faisi .
Really learned a lot and able to clear my doubts.
Plz put more such videos😊
Marvellous presentation dear Faizi
Sir very excellent information you have given
Sir please make a video how to solve autocorrelation problem and a video on short run and long run model
Thanks.
For solving the autocorrelation and heteroscedasticity problems, you can employ robust standard errors.
I will try to make a video on a short run and long run model in future.
Ok and thank you
Thakns a lot Dr Faizi ....
Very helpful . Many thanks
I'm so glad it was helpful. Keep Learning.
very useful video ..Plz keep on posting
Thanks a lot.
best, knowledgeable and understandable
sir mera hausman test ka chi value 00.00 ara hai and prob value ki jagha koi value ni ari what should i do
A chi-square value of 0.00 suggests that the fixed-effects and random-effects models are producing virtually identical results, making it impossible to statistically differentiate between them. However, this does not necessarily validate the random-effects model; it just indicates an inability to perform the Hausman test effectively.
How to Solve the Issue
1. Inspect the Data and Models: Check if the independent variables are highly collinear, which could lead to singular matrices. Moreover, ensure there is sufficient variability in the data.
2. Use a Robust Hausman Test: Some software packages, like Stata, offer robust versions of the Hausman test (e.g., xtoverid command) that can handle singularity issues.
Very informative for beginners . lag hi rahi thi awaz jani pehchani ...jab channel pe nazar daudaya to malum hua ye to SZ ke buzurg hain.... Jazakallah
I have employed this methodology in my research papers as well as in thesis. But when I have to use it again, I am not able to recall the whole process. So I decided to record the video for my personal use. But just because of fear that in any case if my laptop stops working due to any reason, i will lose that video, i uploaded it on UA-cam. Till now, i have never promoted my channel or video, and except me and my wife, no one knows that I have a channel on UA-cam.
@@faiziweqar ye to aapki sadgi h Dr. Sb. Lekin aise content jisse logon ko knowledge mile to aise me apko waqt mile to aur effort lagayye aur meri rai me koi harz nahi h isme 🤲
@Homo Sapien. Ji Insha Allah Zaroor.
This is the best one.
Do i need to run GMM after hausman test going in favour of FEM in panel data analysis?
If yes, how to interpret that output?
>If in FEM 1 out 4 variables turned out to be significant at 5%; and in GMM, 2 (including that one from FEM) variables turn out to be significant, what to write in conclusion?
How to interpret J statistic and prob(j-stat) from GMM?
but what is the comand for hereroskedasticity test for random effect sir
great job
Thanks
Good work
Thanks
Agar fixed model phele aaya toh xttest0 karna parega ?
thanks a ton, sir.
A.O.A teacher my stata sheet don't recognized the xtserial now what I can do for this
Very nice
Thanks
thank you
You are so fast .
Plz be slow.
Thanks.
I'll try my best next time.
@@faiziweqarno fast...everything was perfect nd click on target 🎉... Thankyou jazakAllah❤❤..