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CrunchEconometrix
United Kingdom
Приєднався 8 січ 2018
Bosede Ngozi ADELEYE is the founder of CrunchEconometrix. She is currently a lecturer and researcher in the Department of Accountancy, Finance and Economics (AFE) at the University of Lincoln, United Kingdom. Alumni of Ogun State University, Nigeria, and University of Sussex, UK. She has over 20 years of industry experience in banking and academia. Teaching the subject of ECONOMETRICS to beginners and intermediate users is her passion. She uses 3 analytical tools: Stata13, EViews10, and Excel, and will add SPSS23 very soon. The channel is dedicated to teaching the rudiments of applied econometrics with simplicity and utmost clarity.
Subscribe to this channel for easy-to-understand econometrics topics....and share the link with your social media and academic community 😉.
Further, improve your analytical skills by enrolling for P.E.R.B.A. with a one-time enrolment of $200, enjoy premium applied econometrics videos on Teachable platform cruncheconometrix.teachable.com 🥰.
Subscribe to this channel for easy-to-understand econometrics topics....and share the link with your social media and academic community 😉.
Further, improve your analytical skills by enrolling for P.E.R.B.A. with a one-time enrolment of $200, enjoy premium applied econometrics videos on Teachable platform cruncheconometrix.teachable.com 🥰.
The Must-Watch PERBA Videos on Teachable
cruncheconometrix.teachable.com
P.E.R.B.A. is strictly about hands-on applied econometrics. A “Do-As-I-Do” approach is adopted to engage enrollees/users. This course will cover topics from the beginner category to advanced econometrics with practical real-life applications. You will be able to finish your dissertations/theses and manuscripts and interpret your results with greater confidence.
CrunchEconometrix videos should be supported by relevant readings from econometrics textbooks, journal articles, and other resources to properly harness the simplicity of the video tutorials.
P.E.R.B.A. is strictly about hands-on applied econometrics. A “Do-As-I-Do” approach is adopted to engage enrollees/users. This course will cover topics from the beginner category to advanced econometrics with practical real-life applications. You will be able to finish your dissertations/theses and manuscripts and interpret your results with greater confidence.
CrunchEconometrix videos should be supported by relevant readings from econometrics textbooks, journal articles, and other resources to properly harness the simplicity of the video tutorials.
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Відео
Avoid These Mistakes: Your Guide to UK Global Talent Migrant Visa
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Are you looking to bring in talented individuals from around the world to work in your company? With the UK Global Talent Visa, you can do just that! In this video, we'll show you how to apply for the visa and what to expect during the process. If you're interested in bringing in talented individuals from around the world, then you need to watch this video! We'll explain everything you need to ...
Stata16: Estimate Panel Data Models using FGLS Technique
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What is Feasible Generalised Least Squares (FGLS) Technique? 1) Controls for cross-sectional dependence, autocorrelation and heteroscedasticity. 2) Applicable to N less than T panel data structure - when the number of cross-sections is LESS than the time dimensions. 3) FGLS is a static panel data technique…suitable for long-run analysis. This video replicates model [1] in Adeleye et al (2022) “...
Stata16: Estimate Panel Data Models using PCSE Technique (Part 2)
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What is Panel-Corrected Standard Errors (PCSE) Technique? 1) Controls for cross-sectional dependence, autocorrelation and heteroscedasticity. 2) Applicable to N less than T panel data structure - when the number of cross-sections is LESS than the time dimensions. 3) PCSE is a static panel data technique…suitable for long-run analysis. This video replicates model [1] in Adeleye et al (2022) “Doe...
How to Estimate Models with PCSE Technique: Pre-Estimations
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What is Panel-Corrected Standard Errors (PCSE) Technique? 1) Controls for cross-sectional dependence, autocorrelation and heteroscedasticity. 2) Applicable to N less than T panel data structure - when the number of cross-sections is LESS than the time dimensions. 3) PCSE is a static panel data technique…suitable for long-run analysis. This video replicates model [1] in Adeleye et al (2022) “Doe...
Contemporaneous Correlation Demystified: Know the Techniques
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What is Contemporaneous Correlation? 1. Contemporaneous correlation is a statistical concept that measures the correlation between the realizations of two time series variables in the same time period. 2. It is often used in models that involve multiple equations, such as the seemingly unrelated regression models. 3. Contemporaneous correlation implies that the equations are interrelated and ca...
CrunchQueen Space - Models, Functional Forms & Interpretations
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Models, Functional Forms & Interpretations 🤩 Link to Data (Multicollinearity) - cruncheconometrix.com/view/datashop.php at ZERO cost CrunchEconometrix videos should be supported by relevant readings from econometrics textbooks, journal articles and other resources to properly harness the simplicity of the video tutorials.
Launching CrunchQueen Space on FB...Yaay!
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CrunchQueen Space (CQS) will be making live broadcasts on applied econometrics, foreign admissions, postdocs, lecturing jobs, and relocating overseas via the education route. Stay tuned to my CrunchEconometrix Facebook Page. FOLLOW my Page. Press the NOTIFICATION ICON so that you don't miss my broadcasts. I will appreciate if you share my videos so that FB can recommend to everyone across the g...
CrunchQueen Space - Multicollinearity: Causes & Treatment
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CrunchQueen Space - Multicollinearity: Causes & Treatment
(EViews10): Moderation Modelling using Time Series Data (Part 1)
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(EViews10): Moderation Modelling using Time Series Data (Part 1)
(Stata16): Moderation Modelling using Panel Data (Part 1)
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(Stata16): Moderation Modelling using Panel Data (Part 1)
Introduction to Moderation Modeling
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Introduction to Moderation Modeling
Dummy Variables in Panel Data (Part 1)
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Dummy Variables in Panel Data (Part 1)
What are Dummy Variables, and How do they Work?
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What are Dummy Variables, and How do they Work?
Introduction to Quadratic Modelling and Turning Point
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Introduction to Quadratic Modelling and Turning Point
Introduction to Quantile Regressions
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Introduction to Quantile Regressions
Threshold Analysis: Stata Specifics (xthenreg Syntax)
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Threshold Analysis: Stata Specifics (xthenreg Syntax)
CrunchEconometrix-Teachable P.E.R.B.A. Launch
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CrunchEconometrix-Teachable P.E.R.B.A. Launch
(Stata16): Heteroskedasticity and Robust Standard Errors #vcerobust #standarderrors #gls #wls #ols
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(Stata16): Heteroskedasticity and Robust Standard Errors #vcerobust #standarderrors #gls #wls #ols
(EViews10): Heteroskedasticity and Robust Standard Errors #vcerobust #standarderors #gls #wls #ols
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(EViews10): Heteroskedasticity and Robust Standard Errors #vcerobust #standarderors #gls #wls #ols
(Stata16): Heteroskedasticity and Weighted (Generalised) Least Squares #gls #wls #ols #weights
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(Stata16): Heteroskedasticity and Weighted (Generalised) Least Squares #gls #wls #ols #weights
(EViews10): Heteroskedasticity and Weighted (Generalised) Least Squares #gls #wls #ols #weights
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(EViews10): Heteroskedasticity and Weighted (Generalised) Least Squares #gls #wls #ols #weights
(Stata16): Heteroskedasticity and Functional Forms #log-log #log-level #archtest
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(Stata16): Heteroskedasticity and Functional Forms #log-log #log-level #archtest
(EViews10): Heteroskedasticity and Functional Forms
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(EViews10): Heteroskedasticity and Functional Forms
(Stata16): How to Detect Heteroskedasticity #archlm #graphs #plots #errorvariances #gls #wls #ols
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(Stata16): How to Detect Heteroskedasticity #archlm #graphs #plots #errorvariances #gls #wls #ols
(EViews10): How to Detect Heteroskedasticity #errorvariances #graphs #plots #variances #archlm
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(EViews10): How to Detect Heteroskedasticity #errorvariances #graphs #plots #variances #archlm
Understanding Heteroskedasticity #errorvariances #gls #wls #ols #homoscedasticity
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Understanding Heteroskedasticity #errorvariances #gls #wls #ols #homoscedasticity
(Stata16): How to Perform Panel Sub Sample-Analysis #paneldata #pooledols #dummyvariables
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(Stata16): How to Perform Panel Sub Sample-Analysis #paneldata #pooledols #dummyvariables
(Stata16): Two-way Error Component Models #lsdv #pooledols #errorcomponent
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(Stata16): Two-way Error Component Models #lsdv #pooledols #errorcomponent
(Stata16): How to Perform Stepwise Regressions with Dummy Variables #stepwise #pooledols #dummies
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(Stata16): How to Perform Stepwise Regressions with Dummy Variables #stepwise #pooledols #dummies
Thank you Auntie. God bless your soul!
I have been looking for exogeniety test video, I couldn't get it. Help pls
I don't have any video on that at the moment. You may want to check out other online resources.
Thanks for the video...But I would like to ask...if re-estimation is done to include an additional AR or MA term...how would the new ARIMA expression look like?
I showed what to do. You may want to check out other online resources for more information.
Hi. I use the annual data but the result I got is lag = 4. The number of obs is just 33. Is this still okay? Or I have to decrease the lag to 1 or 2? Hopefully to get the reply from you soon!
You can use 1 lag and put a note in your work explaining why: "to avoid losing observations and degrees of freedom."
You 've made my day, very sound and precise to point. Bless you.
Glad it was helpful!
Good day ma, Please how do I deal with panel data where variables have different orders of integration as inferred by the unit root test-I(0) (stationary at level), I(1) (stationary after first differencing), and I(2) (stationary after second differencing)?
You can deploy PCSE and FGLS techniques.
@@CrunchEconometrix thank you ma
Thank you so much for the efforts and resources put together to make this wonderful series. However, I have a below questions: I came across an article that uses GMM on a dataset of 42countries over 40years period. How is that possible considering the fact that the N and T are almost the same with regard to the challenge of large instruments?
To be honest, I have no answer. The guides for estimating GMM are detailed in the literature.
thanks Professor for the great video. I have a Question: can you run a Panel ARDL regressions with a mixture of variables, some at levels and some at first differences?
Yes but it is important that the dependent variable is I(1).
Hi madam, If the residual autocorrelation test results indicate that the p-value for the chosen lag is 0.000, which is less than 0.05, suggesting the presence of autocorrelation, should I change the number of lags and re-estimate the VAR model with this new lag?
Yes, adjust the lag length.
@@CrunchEconometrix Thank you for your reponse. I have another question when I estimated the model ,i found the R-squared coefficient is low for both variables, even though I tested the model's stability ,and the significance test of the coefficients indicates a probability less than 5%, so the model is significant .Does this low coefficient pose a problem?
Thank you so much for your teaching
U're welcome 🙏
Thank you Professor, it is instructive and helpful. Thanks a lot. But I have a question that my result of AR(1) always is non-significant. Does this question will affect my results highly. And why does my result of AR1 is non-significant? and how to solve this question? Hope to hear from you soon, thanks a lot again
AR(1) not significant implies there's no 1st order serial correlation which is good. Interpret your results.
@@CrunchEconometrix So does this mean i can not do GMM model?
You can.
Hi Madam, I have found the following ARDL model estimation results. The coefficient of GDP in lag one is negative, and the coefficient for exports in lag one is also negative. My question is: Is this result acceptable or not? Variables: GDP growth (annual %); Inflation, consumer prices (annual %); Official exchange rate (LCU per US$, period average); Foreign direct investment, net inflows (% of GDP); Exports of goods and services (% of GDP) ardl gdp inflation exchange_rate fdi export_bd, maxlag(1) ARDL(1,0,0,0,1) regression Sample: 1988 - 2022 Number of obs = 35 F( 6, 28) = 8.16 Prob > F = 0.0000 R-squared = 0.6361 Adj R-squared = 0.5582 Log likelihood = -41.706736 Root MSE = 0.8907 ------------------------------------------------------------------------------- gdp | Coef. Std. Err. t P>|t| [95% Conf. Interval] --------------+---------------------------------------------------------------- gdp | L1. | -.1121503 .1745625 -0.64 0.526 -.4697253 .2454247 | inflation | -.0656006 .08678 -0.76 0.456 -.2433614 .1121602 exchange_rate | .0563542 .0144398 3.90 0.001 .0267756 .0859328 fdi | .4664016 .6940933 0.67 0.507 -.9553841 1.888187 | export_bd | --. | .3040321 .1240857 2.45 0.021 .0498541 .55821 L1. | -.3016697 .12807 -2.36 0.026 -.5640092 -.0393302 | _cons | 2.658918 .9601405 2.77 0.010 .692159 4.625676 ------------------------------------------------------------------------------- . matrix list e(lags) e(lags)[1,5] gdp inflation exchange_r~e fdi export_bd r1 1 0 0 0 1 . end of do-file
Please help me. What do i write in place of year if my data is like jul-2018 and its monthly???
First, ensure your data is in the right TIME format, then modify the code to relect MONTH.
@@CrunchEconometrix thanks a lot
@@CrunchEconometrix thanks . Do you know how to get long run coefficient of cross section in panel ardl in eviews?
Not at all.
if i have monthly data what will be the code in stata?
Simplify YEAR to MONTH.
Thanks for that supportive heart and for being generous with your knowledge base. I have been greatly helped.
Great to hear, Betty! 🥰
First of all, thank you very much. Based on that, I followed the same approach directly in Stata using: drop if missing(CountryName) | missing(CountryCode) | missing(SeriesName) | missing(SeriesCode) egen id_C = group(CountryName) egen id_S = group(SeriesName) foreach var of varlist _all { replace `var' = "" if `var' == ".." } reshape long YR, i(id_C id_S) j(year) drop SeriesName SeriesCode reshape wide YR, i(id_C year) j(id_S)
U're welcome 🙏
Thank you professor for the excellent tutorial! I have two questions: 1) Can we use ARDL if we have variables that are integrated of the same order? 2) Do we perform additional diagnostic tests except the bounds test? Thank you very much!
Hi Pepe: 1) Yes...if they are ALL I(1). Use OLS if they are ALL I(0). 2) Heteroscedasticity, serial correlation, normality, and stability tests.
@@CrunchEconometrix Thank you!!
Thank you dear ma'am for your insightful lessons. I would like to ask you. Are you familiar with Mr. Mohammad Musa Shafiq, I see his name as a Co-author in some of your papers. He was my friend and also he was my professor in University. Best of luck ma'am.
Yes, I do. We co-wrote an article.
Hello Ma'am, as the result show from the Jarque-Bera test that error are not normally distributed, what inference is taken from it. and is there any way to correct it. and Thanks for your content, it is helping many students to understand these model from basics.
Hi Mohit, if JB says non-normal distribution of the errors, then that's what it is. The most important tests to be concerned about are HETEROSCEDASTICITY, SERIAL CORRELATION, and STABILITY.
if the test is inconclusive i.e the f-stat falls between the I(o) and I(1) values. what method do we use for estimation and what would be our conclusion
Your conclusion is NO cointegration.
Thank you very much, Dr. I'm currently learning econometric as I write my Msc. Dissertation and your teachings has been very helpful so far.
You're very welcome, Sir!
I have a question. I'm running a panel data regression, and using interaction terms and dummy variables (quarterly and regional). I've done the Unit Root tests and descriptive. What's the next step before proceeding to run the regression?
That'll depend on if you have heterogeneous panel data where N<T.
@@CrunchEconometrix It consists of 33 panels (the boroughs in London)
What's the time dimension?
Thanks, very grateful for your lecture. P lease I need the do file
Hi Benson, thanks for kind words...deeply appreciated. Kindly know that due to abuse and unethical conduct, Stata dofiles used in my videos are no longer free but available on my website upon payment. Here's the link cruncheconometrix.com/view/datashop.php The files don't cost much just a token to maintain my website. Thanks for your understanding and patronage.
Very creative
Thank you! Cheers!
This is great, but how do I create the dummy before and after structural breakpoints if I have two breakpoints? Suppose I have a dataset from 1995 to 2020 and two breaks in 2003 and 2010. So before 2003, I had to put 0; after 2003, it had to be 1, but again, I had to put before 2010. So please help me.
You are correct on the 1st break point. For the 2nd, put 0 from 1995 to 2009, and 1 from 2010 to 2020. The break dummies will be in different columns. This would be very easy in Stata. Never tried it in EViews.
Thank you so much, your explanations are very clear.
U're welcome 🙏
Please I’ve been following your tutorials but when I put the varsoc command , I face the error of repeated time values in sample. I have tried to find solution but to no avail. Kindly help me with how to correct this. Thank you.
Are you using panel data?
@@CrunchEconometrix yes please
This technique is not appropriate for panel data. Check my Panel Data playlist for applicable techniques.
@@CrunchEconometrix thank you
Mam, please make a video on the Augmented Mean group and Cross sectional ARDL .
Noted. Thanks for your suggestion.
Prof, please what if I am doing for one country and 53 companies in that country what’s the function is it forval 1/53? Or 1/1?
One country equates to TIME SERIES analysis. So, watch my Time Series for guides.
Ma'am as we have around 6 results each for fgls and pcse which one should we give for a paper or thesis? Is the last estimate result fine? Or do we need explain all results?
Advisable to use your best results.
Does instruments include all explanatory variables (main independent variables + controls)?
Yes... though, not in all cases.
how to do so with eviews?
No idea, Sir. Not sure if EViews has the routine.
How to do monthly data? I tried to do analogically but my months are not in chronological order in stata
You should sort out your monthly data in Excel before importing to Stata to reshape.
Is there a way to see the descriptive statistics for each cross section separately?
You should if you know how to tweak the EViews code using the IF condition.
@@CrunchEconometrix thanks💐💐
Thank you very much for the videos, they're very informative and helpful🌺🌺
U're welcome 🤗
Thank you so much for your excellent videos. I am currently in my undergraduate studies , but I found your videos very helpful. A huge thanks Mommy, love from the Gambia.
You're very welcome, Sir!
hello, the ADF number that she is using to reject the hypothesis is from STATA right? can we calculate that number in excel? or not
Not sure if you can do that in Excel.
all of us who were doing this manually, lets gather here
Hahaha 🤣...now, you can use the Excel command to make things easier.
i am looking for the ranger causality command on stata using ARDL model .By the way , thanks for the quality of the video
Use the Stata HELP menu for a guide.
can i use ardl ECM short run output if there is no cointegration? thank you
No.
Is there any difference for white methoad in pannel data ????
No difference.
@CrunchEconometrix but once I have try to use white hetroscadity metrics eviews don't have option if I import pannel data but if I import cross sectionbdaya it allows for white option ,what might be the problem could you please suggest me?
Thank you very much for your interpretation, my question is, What if the _ce1 (adjustment parameter) is not significant at the D_lnpdi, which is the dependent variable, does that mean there`s a problem with the model?
Not exactly. It only shows that there's no adjustment to long run equilibrium. If you change some of your independent variables and/or lag structure, you may get a different outcome.
@@CrunchEconometrix okay thank you 🙏🏽
Hallow @CrunchEconometrix, thank you very much for these insightful videos, my concern is how do I establish /explain convergence of a same particular variable(s) of country X and Z on Panel ARDL Output. For example, I want to know how long country X's GDP will reach country Z's GDP, or Stock market capitalization of Country X will catch up with that of country Z?. Please I really need this assistance.
Hi John, your query is outside my scope of engagement. You may want to check out other online resources. My sincere apologies 🙏
Dr Crunch Queen Space I appreciate the Almighty God for giving you the grace to impact your generation. More uncommon Grace and uncommon strength as our Greatest God is Real and Sure in your life. Weldone oooooooooo.❤.
Thanks so much for your support and prayers, Mum! 💖
thank you for covering this topic. I want to know what to do when AR(2) is coming significant? What can be possible manipulations?
It implies the presence of 2nd order serial correlation. Kinda read more about this from online blogs, articles, articles, and textbooks.
Thanks Dr. Can you recommend resources for learning how to interpret results?
I have videos on results interpretation. Kindly check through my Playlists.
That is so great Prof. Ngozi Thank you
U're welcome, Sir 🙏
Hello Ma'am, thank you so much for the video. I have a little challenge. What do I do when the optimal lag length is identified by the criterion, but when i try using it in the model, I get an error message stating ''insufficient number of observation''?
Several reasons. Too many variables, too many lags and/or a short time span. For instance, too many lags will reduce the number of observations. Reduce the lags to 1 and re-estimate the model, but make sure you have at least 3 observations BEFORE doing so.
Please may you assist. I am using EVIEWS 13, model is ARDL. I seem to not have the functionalities that you are showing. Example I do not have the long run Cointegration/bounds option. I do have another option which is "Cointegrating Relation" but this does not provide results of the DW test, everything else is there just not the DW test.
I have no idea why that is the case. But does not getting the DW affect your results?
😊 what a perfect work !!!many thanks professor
You are welcome! 🥰🙏
Dear ma'am could you pls shed some light on moderation analysis using GMM models. Thank you in Advance.
Hi Farhan, it's the same approach. Just include the interaction term to the GMM model.