CrunchEconometrix
CrunchEconometrix
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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.
Переглядів: 1 049

Відео

Avoid These Mistakes: Your Guide to UK Global Talent Migrant Visa
Переглядів 9918 місяців тому
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
Переглядів 7 тис.Рік тому
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
Переглядів 3,9 тис.Рік тому
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
Переглядів 1,9 тис.Рік тому
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!
Переглядів 979Рік тому
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

КОМЕНТАРІ

  • @strictl3h139
    @strictl3h139 21 годину тому

    Thank you Auntie. God bless your soul!

  • @bamangaado5477
    @bamangaado5477 2 дні тому

    I have been looking for exogeniety test video, I couldn't get it. Help pls

    • @CrunchEconometrix
      @CrunchEconometrix День тому

      I don't have any video on that at the moment. You may want to check out other online resources.

  • @andrewntumi6916
    @andrewntumi6916 5 днів тому

    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?

    • @CrunchEconometrix
      @CrunchEconometrix 4 дні тому

      I showed what to do. You may want to check out other online resources for more information.

  • @phuongthaotran8183
    @phuongthaotran8183 7 днів тому

    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!

    • @CrunchEconometrix
      @CrunchEconometrix 5 днів тому

      You can use 1 lag and put a note in your work explaining why: "to avoid losing observations and degrees of freedom."

  • @ogamartinz2757
    @ogamartinz2757 7 днів тому

    You 've made my day, very sound and precise to point. Bless you.

  • @yoursjeffery
    @yoursjeffery 7 днів тому

    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)?

  • @BISIRIYUSODIQOLAIDE
    @BISIRIYUSODIQOLAIDE 8 днів тому

    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?

    • @CrunchEconometrix
      @CrunchEconometrix 5 днів тому

      To be honest, I have no answer. The guides for estimating GMM are detailed in the literature.

  • @RohiNkwama
    @RohiNkwama 11 днів тому

    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?

    • @CrunchEconometrix
      @CrunchEconometrix 11 днів тому

      Yes but it is important that the dependent variable is I(1).

  • @saobwT-o4tO
    @saobwT-o4tO 11 днів тому

    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?

    • @CrunchEconometrix
      @CrunchEconometrix 11 днів тому

      Yes, adjust the lag length.

    • @saobwT-o4tO
      @saobwT-o4tO 10 днів тому

      @@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?

  • @jemeka26
    @jemeka26 11 днів тому

    Thank you so much for your teaching

  • @牛牛牛-x3x
    @牛牛牛-x3x 11 днів тому

    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

    • @CrunchEconometrix
      @CrunchEconometrix 11 днів тому

      AR(1) not significant implies there's no 1st order serial correlation which is good. Interpret your results.

    • @牛牛牛-x3x
      @牛牛牛-x3x 11 днів тому

      ​@@CrunchEconometrix So does this mean i can not do GMM model?

    • @CrunchEconometrix
      @CrunchEconometrix 8 днів тому

      You can.

  • @AlMamun-ko9dt
    @AlMamun-ko9dt 17 днів тому

    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

  • @lovenepal8756
    @lovenepal8756 17 днів тому

    Please help me. What do i write in place of year if my data is like jul-2018 and its monthly???

    • @CrunchEconometrix
      @CrunchEconometrix 16 днів тому

      First, ensure your data is in the right TIME format, then modify the code to relect MONTH.

    • @lovenepal8756
      @lovenepal8756 14 днів тому

      @@CrunchEconometrix thanks a lot

    • @lovenepal8756
      @lovenepal8756 14 днів тому

      @@CrunchEconometrix thanks . Do you know how to get long run coefficient of cross section in panel ardl in eviews?

    • @CrunchEconometrix
      @CrunchEconometrix 12 днів тому

      Not at all.

  • @knowledgebulb6232
    @knowledgebulb6232 17 днів тому

    if i have monthly data what will be the code in stata?

  • @bettytuhaise2686
    @bettytuhaise2686 18 днів тому

    Thanks for that supportive heart and for being generous with your knowledge base. I have been greatly helped.

  • @djolaudkiliguyarnoldj.b3329
    @djolaudkiliguyarnoldj.b3329 20 днів тому

    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)

  • @pepe_the_frog-123
    @pepe_the_frog-123 20 днів тому

    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!

    • @CrunchEconometrix
      @CrunchEconometrix 18 днів тому

      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.

    • @pepe_the_frog-123
      @pepe_the_frog-123 17 днів тому

      @@CrunchEconometrix Thank you!!

  • @farhanfarzam4278
    @farhanfarzam4278 21 день тому

    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.

  • @mohitrajoria9141
    @mohitrajoria9141 22 дні тому

    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.

    • @CrunchEconometrix
      @CrunchEconometrix 18 днів тому

      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.

  • @favourokwuchukwu-uba8674
    @favourokwuchukwu-uba8674 22 дні тому

    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

  • @jemeka26
    @jemeka26 23 дні тому

    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.

    • @CrunchEconometrix
      @CrunchEconometrix 18 днів тому

      You're very welcome, Sir!

    • @jemeka26
      @jemeka26 17 днів тому

      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?

    • @CrunchEconometrix
      @CrunchEconometrix 17 днів тому

      That'll depend on if you have heterogeneous panel data where N<T.

    • @jemeka26
      @jemeka26 17 днів тому

      @@CrunchEconometrix It consists of 33 panels (the boroughs in London)

    • @CrunchEconometrix
      @CrunchEconometrix 16 днів тому

      What's the time dimension?

  • @ZonuBenson
    @ZonuBenson 23 дні тому

    Thanks, very grateful for your lecture. P lease I need the do file

    • @CrunchEconometrix
      @CrunchEconometrix 18 днів тому

      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.

  • @ZonuBenson
    @ZonuBenson 23 дні тому

    Very creative

  • @Vinaykumar-wj7qs
    @Vinaykumar-wj7qs 26 днів тому

    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.

    • @CrunchEconometrix
      @CrunchEconometrix 25 днів тому

      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.

  • @praisechakabuda7571
    @praisechakabuda7571 26 днів тому

    Thank you so much, your explanations are very clear.

  • @priscillaabban5864
    @priscillaabban5864 28 днів тому

    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.

  • @meerrasiq1169
    @meerrasiq1169 Місяць тому

    Mam, please make a video on the Augmented Mean group and Cross sectional ARDL .

  • @juliusakor8617
    @juliusakor8617 Місяць тому

    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?

    • @CrunchEconometrix
      @CrunchEconometrix 26 днів тому

      One country equates to TIME SERIES analysis. So, watch my Time Series for guides.

  • @etbedtalksAOH
    @etbedtalksAOH Місяць тому

    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?

  • @NehaGupta-rn7sd
    @NehaGupta-rn7sd Місяць тому

    Does instruments include all explanatory variables (main independent variables + controls)?

  • @azzahassan84
    @azzahassan84 Місяць тому

    how to do so with eviews?

  • @kateandrusenko1290
    @kateandrusenko1290 Місяць тому

    How to do monthly data? I tried to do analogically but my months are not in chronological order in stata

    • @CrunchEconometrix
      @CrunchEconometrix 26 днів тому

      You should sort out your monthly data in Excel before importing to Stata to reshape.

  • @mervetuncay7358
    @mervetuncay7358 Місяць тому

    Is there a way to see the descriptive statistics for each cross section separately?

    • @CrunchEconometrix
      @CrunchEconometrix 26 днів тому

      You should if you know how to tweak the EViews code using the IF condition.

    • @mervetuncay7358
      @mervetuncay7358 26 днів тому

      @@CrunchEconometrix thanks💐💐

  • @mervetuncay7358
    @mervetuncay7358 Місяць тому

    Thank you very much for the videos, they're very informative and helpful🌺🌺

  • @infinity3668
    @infinity3668 Місяць тому

    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.

  • @letibc
    @letibc Місяць тому

    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

  • @gifmbewe537
    @gifmbewe537 Місяць тому

    all of us who were doing this manually, lets gather here

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      Hahaha 🤣...now, you can use the Excel command to make things easier.

  • @daniellesylla7866
    @daniellesylla7866 Місяць тому

    i am looking for the ranger causality command on stata using ARDL model .By the way , thanks for the quality of the video

  • @FranciscoSantos-ld5bt
    @FranciscoSantos-ld5bt Місяць тому

    can i use ardl ECM short run output if there is no cointegration? thank you

  • @user-nr5vw3vz1y
    @user-nr5vw3vz1y Місяць тому

    Is there any difference for white methoad in pannel data ????

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      No difference.

    • @user-nr5vw3vz1y
      @user-nr5vw3vz1y Місяць тому

      @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?

  • @erictiyabe5985
    @erictiyabe5985 Місяць тому

    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?

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      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.

    • @erictiyabe5985
      @erictiyabe5985 Місяць тому

      @@CrunchEconometrix okay thank you 🙏🏽

  • @JohnGugai
    @JohnGugai Місяць тому

    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.

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      Hi John, your query is outside my scope of engagement. You may want to check out other online resources. My sincere apologies 🙏

  • @EstherOgundare
    @EstherOgundare Місяць тому

    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.❤.

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      Thanks so much for your support and prayers, Mum! 💖

  • @GarimaGupta
    @GarimaGupta Місяць тому

    thank you for covering this topic. I want to know what to do when AR(2) is coming significant? What can be possible manipulations?

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      It implies the presence of 2nd order serial correlation. Kinda read more about this from online blogs, articles, articles, and textbooks.

  • @anushaannathurai
    @anushaannathurai Місяць тому

    Thanks Dr. Can you recommend resources for learning how to interpret results?

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      I have videos on results interpretation. Kindly check through my Playlists.

  • @mubarakdanmaraya4974
    @mubarakdanmaraya4974 Місяць тому

    That is so great Prof. Ngozi Thank you

  • @thewave_10
    @thewave_10 Місяць тому

    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''?

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      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.

  • @zimvomtolo4519
    @zimvomtolo4519 Місяць тому

    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.

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      I have no idea why that is the case. But does not getting the DW affect your results?

  • @pan19682
    @pan19682 Місяць тому

    😊 what a perfect work !!!many thanks professor

  • @farhanfarzam4278
    @farhanfarzam4278 Місяць тому

    Dear ma'am could you pls shed some light on moderation analysis using GMM models. Thank you in Advance.

    • @CrunchEconometrix
      @CrunchEconometrix Місяць тому

      Hi Farhan, it's the same approach. Just include the interaction term to the GMM model.