Panel Data Analysis | Econometrics | Fixed effect|Random effect | Time Series | Data Science

#paneldata #machinelearning #statistics #datascience
This video is on Panel Data Analysis. Panel data has features of both Time series data and Cross section data. You can use panel data regression to analyse such data, We will use Fixed Effect Panel data regression and Random Effect panel data regression to analyse panel data. We will also compare with Pooled OLS , Between effect & first difference estimation.
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[@tr3645]

thanks a lot. there are not that many videos that explain fixed-effect models in Japanese on RUclips. I am a Japanese student studying econometrics. I hope the number of videos explaining fixed-effect models in Japanese increases.

[@AnalyticsUniversity]

thanks

[@harielvis]

Excellent explanation! Thanks for sharing the information freely. I even clicked some ad hoping it helps.

[@AnalyticsUniversity]

Thanks!

[@zarolive6858]

Agree!

[@nigirizushi533]

thank you so much!! you're singlehandedly carrying my undergrad thesis

[@hariprasadpathak9260]

What a comprehensive explanation in a very simple way! Really amazing. Thanks a lot.

[@markclintworth6134]

Many thanks for this ! Clear, lucid and effective explanation. Very much appreciated.

[@charithkrish]

Sir can you make available the data file (excel file) that you are working with. It would be helpful practicing these techniques further. Thanks.

[@agoogleuser6452]

Very clear explanation

[@_uncleP_]

Best explanation on the internet🙏

[@martinindrawata8840]

Thank you so much sir, you saved my thesis

[@jameshurliman8951]

I got an ad at the beginning, popup ads that reappeared at the bottom continuously and video interrupt ads about every 2.5 minutes. I appreciate the content but the amount of ads is extreme.

[@kehindeadetiloye2221]

and very annoying

[@ashwinikokil385]

Agree!

[@joanseguramartin595]

there is something called adblock plus, u're welcome.

[@asaliah7]

Totally agree.

[@AndualemTaye]

excellent presentation, brief but comprehensive at the same time

[@mustafizurrahman5699]

Simply mesmerising and splendid lecture to elucidate glimpse view on panel data analysis. Hats off

[@mariateresabuenavista8560]

Many thanks for the guidance.

[@orapierra6649]

Wooow this video summarise everything to get started with panel data modelling. Explained very well. thanks very much

[@Thoughtprovoking01]

Good work.. Find it really helpful... But it could have been presented in 35 mints..

[@oluwatosinonayemi9060]

Thank you for this explanation. Really helpful.

[@joshuamomanyi6836]

This is quite awesome one

[@kumartapan1]

Thank you very much for explaining the lecture such a simple way.................................................

[@jairammeena7853]

This tutorial on panel data is very crisp and insightful.

[@AnalyticsUniversity]

Thanks

[@jadhavmadhav]

Good lecture Sir
Thank you very much
Can you help me, how to use pnale data analysis for district wise crime data for 20 years

[@linwei6953]

Thank you so much for explain it so intuitively, it saves my life before the exam!

[@AnalyticsUniversity]

Thanks

[@andreavegatinoco7291]

Excellent video!! I took the time to sign in only to Like this video and subscribe. It was very clear, good exampling, and answered all my questions. Thank you!!

[@emmanuel3047]

I liked this introduction! Thank you :)

[@dr.dhaneeshkumar7331]

Excellent explanation ...thank you sir

[@Dr.KishoreK]

Good video on panel data. Please share an example of panel data regression in SPSS with how to select FE or RE model.

[@hillarychulukila2493]

Thanks good explanation

[@mr.babatundeololade7401]

Many thanks for these explanations

[@kudzaichidzonga2139]

Well explained. You know your field. Thanks a lot. Keep posting more videos.

[@alexmugabo5677]

Very well explained lecture, thank you so much.

[@brianwaiswa3659]

It is a marvelous video, it explains the concepts very well.

[@AnalyticsUniversity]

thanks

[@tom4115]

That was great, thanks a lot. Fantastic communication. Very clear.

[@aasifmalikshaik1738]

Thank you very much for this video. It was helpful.

[@ad841]

Brilliant Explanation, Sir!

[@XX-11235]

How do you figure out the correct specification of the model? I.e you know it's fixed effects but simple linear model doesn't give any significance to your variables? What transformation should you consider? How do you find out whether some variables have a nonlinear impact or that there is some sort of an interaction between 1 or more variables (e.g. y=a+bx+cz+dxz)

[@victor891107]

I have a panel data with N=27 and T=6 Years, which estimation technique can be best suitable for this?

[@MrMandarpriya]

Sir, I wanted to know if i want for each of Yi, as suppose my Y is for each country, then how do i obtain result separately for each country

[@wbgfelix]

Thank you for the video. One question: You are comparing the tests by comparing the (adjusted) R2. As far as I know, the R2 of a fixed effect model can not be interpreted and compared, because it is by definition always better than in a random model or pooled OLS. So the comparison between the models, like you did here would not make sense. Do you agree?

[@shazilmahmood3234]

It has been very informative video.

[@solomonkutties8454]

Thank you so much sir

[@proshantadey4753]

What a nice and clear explanation of very complex topic! I really appreciate you doing this presentation! I would like to attend more classes! How can I do that?

[@AnalyticsUniversity]

Thanks!

[@sylverkacou5730]

Why do we want a higher R-squared? I did not quite get that.

[@yousif_alyousifi]

Very good explanation
I
hope to explain spatial data in next lesson

[@mehrajudinbathangi1245]

Nice video. I got the operations on the panel data cleared very well.

[@menzibennett4808]

Thank you.

[@lemaianh5746]

This is really good video. Thnks much

[@ravikiran2959]

superb

[@sakinaseidu2014]

Lovely video. You made it practical!!

[@paraskhurana1388]

Nice video well explained everything. Can you please provide one big sample of panel data for practising on eviews. It would be very helpful....

[@abdulbasetklish2156]

Thank you so much. It was very helpful

[@atiqurrahman8953]

I have viewed this video t.This gave me much benefit to me. If you have any problem on Hausman-taylor estimatoer in R please send me. Thank you.

[@asarwaribit]

Dear can you please help to let me know qhat are the steps to follow for endogeneity test for panel dat using eviews. I will be gratefull. if you can refer any good link oe just the steps. Waiting for your response. regards

[@vivunimohammed7337]

perfect explanation

[@denistiyo7193]

Well explained. Thanks.

[@bijuthank]

In the cities panel data, which attribute is the dependent variable, and which ones are the independent variable. I have a similar dataset and finding it hard to identify the dependent and independent variables, as there are none.

[@indumathinagarajan7159]

Thank you very much. Clearly explained.

[@meghap4792]

Thank you so much for explaining so well..

[@murumbainekwe1741]

Thanks for this great lecture. However, in determining between using Fixed effect and Random effect for model fit., is it during analyisis you apply both to see the one that best fit your data? Am asking this because before your data collection you may need to specify the type of model you are going to use( FE or RE). At that point you have not collected the data to know how the data are going to behave in relation to FE or RE.

[@vaibhavchaudhary7687]

wonderfull

[@Suresh8848m]

Great job..Please keep going

[@monicasharma4344]

Very nicely explained...

[@ShaiVibes]

Great job. Thank you.

[@nagavemprala2677]

Can I use panel regression when I have two subjects, but many timepoints? Basically I have 5 IVs, but 2 subjects and around 90 data points for these subjects observed over time

[@parfaitnzeyimana99]

I liked the tutorial

[@AnalyticsUniversity]

Thanks

[@datadriventhinking5055]

Great explanation, thanks)

[@amjad525]

thank you, sir,
sir, I have two cross-sections (two countries) and time t=18, which technique will you prefer for this panel data. sir plz help me out.

[@2001aunti]

It helps me a lot. I have one question regarding the last part in your conclusion, it accounts for individual-specific heterogeneity. Could you please explain this as I do not understand why it becomes omitted variables? Appreciate your reply

[@nehac4849]

it clearly mentioned in his explanation since individual employees' salary may still differ if all other parameters are the same because some unobserved variables i.e. school in which employee went or IQ etc. now while you subtract the panel data equation with its average value and you reach to time demeaned equation then unobserved variables will be omitted.

[@deobugandwa1790]

Thank you for this clear presentation. What about Stata?

[@nandovankempen3950]

Does the time series component of panel data have to be consistent over time in terms of time in between data points. Is it necessary for example that there is always 1 year between each observation or can it change throughout the data set, so that for example in between the first two data points there is a one year gap and then for the next two data points there is a 3 year gap?

[@Hatallula]

THANKKKK YOU

[@randaburaideh4905]

Thank you so much !

[@AnalyticsUniversity]

thanks

[@shamailakhurshid8402]

Very good explanation...from where i can get code for r??

[@michelk8579]

Thanks, good video. Helps a lot.

[@shafiulalam1175]

Really it was amazing! I was zero before learning this.

[@AnalyticsUniversity]

thanks

[@user-xt9js1jt6m]

Wonderful !!!!

[@vasudhagupta5846]

Sir, It is important to check unit root for dummy variables.
Please suggest

[@shwethasunil4895]

Extremely useful video. Could you please share the complete R code too? And the data sheet after transformation

[@AnalyticsUniversity]

Thanks! Please send us an email to [e-mail]

[@anirudhat.928]

Amazing Video !

[@graf_geo]

nice explanation and example :)

[@srirupabagchi2210]

very nicely explained. thank you

[@AnalyticsUniversity]

thanks

[@sidgupta179]

thank you

[@AnalyticsUniversity]

Thanks

[@francescapezze7695]

thanks for your great video! the website doesn't seem working!

[@mfigueira1303]

Excellent and very helpful! Is there a video about dynamic panel GMM? Thanks.

[@AnalyticsUniversity]

Thanks Mauro! We will make one on dynamic panel GMM

[@LossinDulhey]

Can someone tell me if it is necessary for the data to be stationary to do the panel data analysis?

[@agroasesor1]

It works perfectly with animal production. I do something similar using percentage. Thanks in advance!!! G R A C I A S mil desde COLOMBIA.

[@naveeddar5966]

Thanks sir alot.

[@touqeersarwar5372]

Thanks sir, really a good effort. Sir keep it up..!!

[@syamantaksen2068]

I understand the content is good, but so much of add losses my attention to the subject. After every 2 minutes, there is an ad for 5 seconds and continuous pop-up ads at the bottom.
That's a bit annoying.
but thanks for clearing the topic

[@saniaafrin1082]

correlation with error term ,can you explain

[@izzuddinabdullah19]

hi all. im looking for explanation on how to decide which independant variable is strongly affect the dependent variable, maybe there is a test for this but i dont know what it name is. can someone suggest me any links to study or books to review for my case? it is so important cause im using Stata, favored model is fixed effect model. Thanks

[@eljangoolak]

hi thank you, isn't cross sectional data for multiple years just time series?

[@karvan8109]

It's panel data

[@eddymorales3391]

Great stuff man. It was explained very well

[@LaBebaGomez]

hello good morning just in case you have a link to download stata 13 for free ?, thanks

[@LoveOfFood]

👍

[@eleanorwright4365]

Does anyone have any resources showing how to do this in SPSS?

[@mexzarkashiev2435]

Eleanor Wright SPSS can't handle Panel Data analysis. You should use STATA, R, SAS, Eviews or similar software.

[@sethnanakwameappiah-kubi5035]

Can someone share the stata download link free

[@gk4539]

too many ads

[@janjohansen6550]

Its not possible to watch this with all the adds!

[@totochandelier]

Too much ads! Is it a choice of the youtuber? Impossible to follow it

[@RizwanAli-ky1ji]

Hy

[@sport2011ful]

اكو عرب بالطيارة