Thanks Prateek. It really helped me a lot. Now I got atleast some idea to start my journey towards advance ecotrix and more than that interpret and apply the corresponding results.
Thank yoy prateek. I have learned a lot... i was watching tutorials for last 2 days but couldn't get the things. Your video helped me a lot. Keep it up... 👍🏻
I was regressing my data in Eviews, applying the model: GDP = β1 + β2 FDI + β3 ODA + u. However, I received an error message that "GDP is not defined". Does anyone know how to fix this error, so I can get the regression result? Thanks. I used a Demo version, does it affect the regression? I referred to some tutorials as well, yet they did not mention the case that a dependent variable is not defined as above. Looking forward to your response.
I took log before checking normality because sometimes due to presence of outliers in the original series, the series may not be normal. However, since log transformation reduces the value of all variables, the effect of outliers may get mitigated in some cases. In the dataset used in the video, the log transformation did help achieve normality for a few variables (I did it only because I wanted to show how a log transformation is done). However, before doing a log transformation, you must decide why you want to do it and whether it is required in the first place.
Very Helpful video Sir. Thankyou from University of Delhi Faculty. Sir kindly tell, as the p value for intercept is more than 5% shall we include the intercept in our regression equation? And, do we always compare the p value with 5% signif. Level?
I took log before checking normality because sometimes due to presence of outliers in the original series, the series may not be normal. However, since log transformation reduces the value of all variables, the effect of outliers may get mitigated in some cases. In the dataset used in the video, the log transformation did help achieve normality for a few variables (I did it only because I wanted to show how a log transformation is done). However, before doing a log transformation, you must decide why you want to do it and whether it is required in the first place.
This is a very helpful video. I have some ambiguity regarding the following: I have data of some companies- ROA, growth_of_the_company(in %), NI(in $). Should I need to take log of the three variables before analysis as the unit of the three variables are different like 1st one is a ratio, 2nd one is % and 3rd one is in $?
Generally, we do not take log of a particular variable because of its unit. Log transformation is generally done to reduce the range of values that a particular may take because log transformation squeezes the values. Additionally, log transformation may sometimes also help in dealing with heteroskedasticity. Anyway, I believe we can do a log transformation of Net Income (just to reduce the range of values) out of the three variables you have mentioned.
Beta is estimated with the help of single index model wherein you can regress your security returns on the market returns and the slope coefficient of the market returns is called Beta of the concerned security.
Thanks Mr. Prateek for this useful presentation.
Thanks Prateek. It really helped me a lot. Now I got atleast some idea to start my journey towards advance ecotrix and more than that interpret and apply the corresponding results.
Thank you, Prateek, it was really helpful indeed!
Thank yoy prateek. I have learned a lot... i was watching tutorials for last 2 days but couldn't get the things. Your video helped me a lot. Keep it up... 👍🏻
Thank you Saleha!
Thank you...
Thank you so much I was so lost I'm teaching myself I have a crappy instructor!
Thanks you, Prateek, I love u ❤❤❤❤❤
Thank you so much for this video and your message at the end!
Thanks from Brazil
Very Nice, Where do we fine other such videos on e-views.
Nice bro also nice end message
thank you so much, God bless you sir
Thank You so much
I was regressing my data in Eviews, applying the model: GDP = β1 + β2 FDI + β3 ODA + u. However, I received an error message that "GDP is not defined". Does anyone know how to fix this error, so I can get the regression result? Thanks. I used a Demo version, does it affect the regression? I referred to some tutorials as well, yet they did not mention the case that a dependent variable is not defined as above. Looking forward to your response.
thank you big help
U absolute legend
Thanks for the wonderful and detailed explanation. Just one question why do we take log of the data
I took log before checking normality because sometimes due to presence of outliers in the original series, the series may not be normal. However, since log transformation reduces the value of all variables, the effect of outliers may get mitigated in some cases. In the dataset used in the video, the log transformation did help achieve normality for a few variables (I did it only because I wanted to show how a log transformation is done). However, before doing a log transformation, you must decide why you want to do it and whether it is required in the first place.
Thank you!
Very helpful and detailed explanation. See also Professor Pavlos - Econometrics / Eviews.
10q very much for interesting presantation
Very nicely explained
hi learned alot but I would like to know more about diagnostic test done on eviews on panel data also descriptive statistics
Very Helpful video Sir. Thankyou from University of Delhi Faculty. Sir kindly tell, as the p value for intercept is more than 5% shall we include the intercept in our regression equation? And, do we always compare the p value with 5% signif. Level?
very nicely explained
I need help to make my assignment using eviews please let me know if anyone can do that
hello. firstly, your video is very helpful for me.
second I wanna ask why you took log to check normality?
I took log before checking normality because sometimes due to presence of outliers in the original series, the series may not be normal. However, since log transformation reduces the value of all variables, the effect of outliers may get mitigated in some cases. In the dataset used in the video, the log transformation did help achieve normality for a few variables (I did it only because I wanted to show how a log transformation is done). However, before doing a log transformation, you must decide why you want to do it and whether it is required in the first place.
how to do log difference values
This is a very helpful video.
I have some ambiguity regarding the following:
I have data of some companies- ROA, growth_of_the_company(in %), NI(in $). Should I need to take log of the three variables before analysis as the unit of the three variables are different like 1st one is a ratio, 2nd one is % and 3rd one is in $?
Generally, we do not take log of a particular variable because of its unit. Log transformation is generally done to reduce the range of values that a particular may take because log transformation squeezes the values. Additionally, log transformation may sometimes also help in dealing with heteroskedasticity. Anyway, I believe we can do a log transformation of Net Income (just to reduce the range of values) out of the three variables you have mentioned.
Hi Prateek, do you know how to estimate BETA with CAPM equation in EVIEWS?
Beta is estimated with the help of single index model wherein you can regress your security returns on the market returns and the slope coefficient of the market returns is called Beta of the concerned security.
Nice :)
Where we can get the data file
This is a private data file which I created myself.
Hi, let me ask what version of Eviews that suit for Windows 10? Can I use version 8 for Windows 10?
Yes, you can use Eviews 8 for Windows 10.
THANKS
nice, but you could have explained more about results reporting ,
Hey prateek, Are you still active here?
Hi Chirag.. You can connect with me on my email address: prateekbedi.du@gmail.com
Please font size ko thora bara kara
Dear, I learned a lot, but hence, I need your help with sth, could you please revert with your email?
Hi Safia! My email ID is prateekbedi.du@gmail.com
churchill? really?