- 383
- 201 066
Research Pedia
Pakistan
เข้าร่วมเมื่อ 16 ก.ค. 2017
Research Pedia is the plateform for newbies to understand the in easy terms the data analysis and related concepts with practice and interpretation form. It contains the video clips of author own created directories from Microsoft Excel, STATA, SPSS, AMOS, Smart PLS, Eviews, etc. It will also contains the explanations of important concepts from Finance, Investment, Research and Econometric. It will help the viewers of business studies, finance and research to develop the basic and advance level conceptual approaches.
Zahid Bashir
Zahid Bashir
วีดีโอ
Stata Training Day-29: ARDL Model with diagnostics part 2
มุมมอง 2914 หลายเดือนก่อน
Stata Training Day-29: ARDL Model with diagnostics part 2
SPSS 27 Training Day-28: Multinomial Logistic Regression
มุมมอง 344 หลายเดือนก่อน
SPSS 27 Training Day-28: Multinomial Logistic Regression
Stata Training Day-28: ARDL Model Estimation Part A
มุมมอง 2994 หลายเดือนก่อน
Stata Training Day-28: ARDL Model Estimation Part A
Stata Training Day-27: Time Series Analysis basic Overview
มุมมอง 1914 หลายเดือนก่อน
Stata Training Day-27: Time Series Analysis basic Overview
SPSS 27 Training Day-27: Binary Logistic Part 2
มุมมอง 494 หลายเดือนก่อน
SPSS 27 Training Day-27: Binary Logistic Part 2
SPSS 27 Training Day-26: Binary Logistic Regression
มุมมอง 814 หลายเดือนก่อน
SPSS 27 Training Day-26: Binary Logistic Regression
Stata Training Day-26: Probit Regression
มุมมอง 814 หลายเดือนก่อน
Stata Training Day-26: Probit Regression
SPSS 27 Training Day-25: Regression Case (Binary & Categorical IVs, and Quantitative DV)
มุมมอง 304 หลายเดือนก่อน
SPSS 27 Training Day-25: Regression Case (Binary & Categorical IVs, and Quantitative DV)
Stata Training Day-25: Ordered Logistic Regression
มุมมอง 654 หลายเดือนก่อน
Stata Training Day-25: Ordered Logistic Regression
SPSS 27 Training Day-24: Regression Assumptions Part C
มุมมอง 324 หลายเดือนก่อน
SPSS 27 Training Day-24: Regression Assumptions Part C
Stata Training Day-24: Multinomial Logistic Regression.
มุมมอง 734 หลายเดือนก่อน
Stata Training Day-24: Multinomial Logistic Regression.
SPSS Training Day 23: Regression Assumption Part B
มุมมอง 254 หลายเดือนก่อน
SPSS Training Day 23: Regression Assumption Part B
NVIVO 14 Training Day-23: Relationships using NVIVO
มุมมอง 974 หลายเดือนก่อน
NVIVO 14 Training Day-23: Relationships using NVIVO
NVIVO Training Day-22: Comparison Diagrams and Maps
มุมมอง 364 หลายเดือนก่อน
NVIVO Training Day-22: Comparison Diagrams and Maps
Stata Training Day-23: Exact Logistic (step by step) part B
มุมมอง 524 หลายเดือนก่อน
Stata Training Day-23: Exact Logistic (step by step) part B
Stata Training Day-23: Logistic Regression (Example 3)
มุมมอง 404 หลายเดือนก่อน
Stata Training Day-23: Logistic Regression (Example 3)
Stata Training Day-23: Exact Logistic Regression (step by step) part A
มุมมอง 964 หลายเดือนก่อน
Stata Training Day-23: Exact Logistic Regression (step by step) part A
NVIVO Training Day-21: Overview of Hierarchy Charts and other visualization part B
มุมมอง 304 หลายเดือนก่อน
NVIVO Training Day-21: Overview of Hierarchy Charts and other visualization part B
NVIVO Training Day-21: Overview of Hierarchy charts and other visualization part A
มุมมอง 344 หลายเดือนก่อน
NVIVO Training Day-21: Overview of Hierarchy charts and other visualization part A
SPSS 27 Training Day-23: Regression Assumption (Linearity, and Normality)
มุมมอง 554 หลายเดือนก่อน
SPSS 27 Training Day-23: Regression Assumption (Linearity, and Normality)
Stata Training Day-22: Logistic Regression Example 2 (step by step) part B
มุมมอง 464 หลายเดือนก่อน
Stata Training Day-22: Logistic Regression Example 2 (step by step) part B
Stata Training Day-22: Overview of Logistic Regression
มุมมอง 1144 หลายเดือนก่อน
Stata Training Day-22: Overview of Logistic Regression
Stata Training Day-22: Logistic Regression Example 2 (step by step) part A
มุมมอง 454 หลายเดือนก่อน
Stata Training Day-22: Logistic Regression Example 2 (step by step) part A
SPSS 27 Training Day-22: Simple and Multiple Regression
มุมมอง 434 หลายเดือนก่อน
SPSS 27 Training Day-22: Simple and Multiple Regression
NVIVO 14 Training Day-20: File Classification, and Case Classification part A
มุมมอง 1664 หลายเดือนก่อน
NVIVO 14 Training Day-20: File Classification, and Case Classification part A
Stata Training Day-21: Overview of Quantile Regression
มุมมอง 2644 หลายเดือนก่อน
Stata Training Day-21: Overview of Quantile Regression
NVIVO 14 Training Day-20: File and Case Classification part B
มุมมอง 514 หลายเดือนก่อน
NVIVO 14 Training Day-20: File and Case Classification part B
Stata Training Day-21: Panel Quantile Regression (MMQR)
มุมมอง 7144 หลายเดือนก่อน
Stata Training Day-21: Panel Quantile Regression (MMQR)
Hi Sir, please could you help with command for testing Hetersk in case of random effects model
Hi Sir, if we apply transformation to DV and IV, still facing same issues. What should we do in that case ?
Dear Sir, It is very helpful. can you please share the data and word file of process. I will grateful to you. I need to teach my students
jazakllah
Sir Assalamualaikum Warehmatullah Alaih, please tell me what I should do when no value comes when applying the ladder command for DV only the identity value comes to zero. Could you reply back to me as soon as possible? Regards M Nizam (India)
Apply the gladder command
Bundle of thanks....Jazakallah Zahid Sab Real hero Thanks for promoting PAKISTAN
what should we do if i runed the model and i find a random effect, could i use the dynamic panel in this case?
Excellent Sir. Thanks very much for simple and to the point guidance. I need your contact number
As per the diagram you have mentioned, it means we have to specify the model as per N and T. Do you have any references for that?????
The paper you referred is mentioning we can use GMM if data is stationary and you did'nt mention it
What if there is no endogenity and N is greater than T, then which model to use????
can you share the file?
Dear Sir, where can I get the reference for Panel Framework Selection part? Thanks in advance
Sir you deserve a round of applause 👏👏 for explaining very useful and most important thing easily ❤
please could you share the link of previous video where factor loading were explained
Iska assignment likhna hai hamko kaise download kare pdf
Sir thanks for your videos, please can I get the Word document or the to-do list file?
Thanks Sir, for your videos, please can I get your to do list file?
Hi. Can you plz guide that how to determine lag in PMG by using stata
How is noon possible at 9:am
Question 4 main hum M/O ki place change kr skty hain....so correct ans is A
in Ques three option U is correct. to meet the majority.
A lot of Mistakes in question# 01 and question# 05 so much confusions and poor explanation
Thank you so much sir
Thank you so much sir ❤
Thankyou 🎉😊
Would you share the paper please?
Q2: what Abt "no consecutive writer" option D is wrong
Dear you are doing awesome. Zabardahst
Very informative video. Could you please explain how to calculate R2 and constant from xtqreg command???
Thank you so much for the training sessions sir.Can i get this pdf please,it will be really helpful for me
Nice
assalamu alaikum. where is the day 3 to day 10 videos?
Please help me to write proper command for running gmm test. I have a dependent variable (gdp) and independent variables (manuf, serv, agric, exc, inf, exp, pi). The endogenous variable are lag of dependent variable (gdp) and independent variable pi.When i try to command xtbond2 applying your recommended formular the answer is unrecognise command
Sir hat test k or new vedio Bana lein
Sorry but noon exact 12 ko bolte hn
Last question mn k is completed on Monday is correct cause we can't place it on any other positions..O M can be placed back and forth
thanks for the helpful video, can I apply System GMM for T=33 and N=40, and can I use the estimated model for long-run effects.
Nope, it would give you biased result
Thank you sir for your insightful lessons, in my case no variables are significant, and also the number of instruments is more than the number of cross sections. pls, put some light on it.
Please tell me the authors and title of the paper you used as a reference.
Lol...last question mein to apne bongi hi mari hei. O bhai...A option ka E option se koi link nahin. O can be on either Friday or Saturday. O ka koi hard and fast rule nai hei. But doosri jagah...jo K hei usne just Monday peh hi rehna hei...uski position nai change ho skti. Isiliye A is the right answer...K IS COMPLETED ON MONDAY.
Dear Hamna Ch. Thank you for pointing out the mistake. I didn't varified your querry, because it may happen that I may make mistake as I am a human not computer. Furthermore, it is requested to please use approporiate words while criticising someone
How can I email and reach out the instructor? I like his simple way of explaining. Thank you for your efforts.
Sir. I got your 27 video of SPS. I am keen interest in SpSs but how to download SPSS to start it's practical after hearing, watching video. Sir please guide me for installation of SPSS and it's version.
Assalamu alaikum. I find this channel very useful for my PhD study. Thank you for creating such a resourceful channel. Can you share some resources on panel threshold regression?
Zahid Bashir my PAPA
Wonderful video. Thank you for sharing. I would like to ask if I can use system GMM if my model is random effect model according to the Hausman test?
Nope
@@nikhilmn97 Thank you for your generous reply. Could you please tell me how can I reach out the instructor? I hope to be enrolled in such courses.
@@usamaahmed6056 No idea, I have no connection with him!
Hlw Professor could you please upload the rest of the video of time series analysis?
. xtabond2 llp l.llp l(0/2). (loansratio car cet nparatio gin taxrate banksize ebtp ldratio ifrs9dummy covid19dummy). gmm(l.llp) iv(L2.llp l(0/2). (loansratio car cet nparatio gin taxrate banksize ebtp ldratio ifrs9dummy covid19dummy)) nolevel robust ( invalid name r(198); dear Sir, I am getting this error message, could you please give me advice to solve this issue. otherwise I cant go further without this results.
whole observation delete karna hain?
Very Informative ..