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Todd R. Yarbrough, Ph.D.
เข้าร่วมเมื่อ 17 ก.พ. 2017
Economics professor who says stuff. Principles of Economics, Econometrics, Environmental Economics. Soon, Public Finance.
Competitive Markets, Monopolies, and Duopolies: A Mathematical Consideration
A mathematical look at three market outcomes.
มุมมอง: 114
วีดีโอ
Costs, Market Price, and Firm Supply in Competitive Markets
มุมมอง 1267 หลายเดือนก่อน
This video was made with Clipchamp
Model Specification Part 2: Efficiency, Linearity, and Bias in Regression Models
มุมมอง 238 หลายเดือนก่อน
This video was made with Clipchamp
Regression Model Specification Part 1: Descriptive versus Causal Models
มุมมอง 638 หลายเดือนก่อน
This video was made with Clipchamp
Technical Look at Consumer's/Consumers' Surplus
มุมมอง 679 หลายเดือนก่อน
This video was made with Clipchamp
Conditional Mean Assumption of Ordinary Least Squares and Introduction to Confounders and Mediators
มุมมอง 26ปีที่แล้ว
This video was made with Clipchamp
Conceptual Introduction to Causal Statistics and Inference
มุมมอง 52ปีที่แล้ว
This video was made with Clipchamp
Properties and Assumptions of Ordinary Least Squares as Best Linear Unbiased Estimator
มุมมอง 120ปีที่แล้ว
This video was made with Clipchamp
An Introduction to Pollution Economics: Stock vs. Fund Pollutants & Command vs. Control Policy
มุมมอง 194ปีที่แล้ว
An Introduction to Pollution Economics: Stock vs. Fund Pollutants & Command vs. Control Policy
Deviations, Variance, Standard Deviation, 68-95-99 Rule
มุมมอง 40ปีที่แล้ว
Deviations, Variance, Standard Deviation, 68-95-99 Rule
Centrality, Dispersion, Distributions, Mean, and Median
มุมมอง 76ปีที่แล้ว
Centrality, Dispersion, Distributions, Mean, and Median
Weber's Least Cost Theory, Labor Cost, Transportation Cost, and Agglomeration Economies (part 2)
มุมมอง 205ปีที่แล้ว
Weber's Least Cost Theory, Labor Cost, Transportation Cost, and Agglomeration Economies (part 2)
Spatial Dispersion and Alfred Weber's Least Cost Theory part 1
มุมมอง 88ปีที่แล้ว
Spatial Dispersion and Alfred Weber's Least Cost Theory part 1
Equivalent Variation and Compensating Variation
มุมมอง 4.5K2 ปีที่แล้ว
Equivalent Variation and Compensating Variation
A Brief Transit History of New York City
มุมมอง 702 ปีที่แล้ว
A Brief Transit History of New York City
Explaining Ordinary Least Squares in One Minute Twenty Seconds
มุมมอง 922 ปีที่แล้ว
Explaining Ordinary Least Squares in One Minute Twenty Seconds
An Example of Using Ordinary Least Squares to Estimate Causal Effects (Stata)
มุมมอง 3742 ปีที่แล้ว
An Example of Using Ordinary Least Squares to Estimate Causal Effects (Stata)
Lecture Shorts: Time Value of Money, Net Present Value, and Cost Benefit Analysis
มุมมอง 2502 ปีที่แล้ว
Lecture Shorts: Time Value of Money, Net Present Value, and Cost Benefit Analysis
Lecture Shorts: Explaining the Oil Market with Supply and Demand
มุมมอง 723 ปีที่แล้ว
Lecture Shorts: Explaining the Oil Market with Supply and Demand
Lecture Shorts: Costs, Profits, and the Supply Curve
มุมมอง 1243 ปีที่แล้ว
Lecture Shorts: Costs, Profits, and the Supply Curve
Lecture Shorts: Supply and Demand Shifts
มุมมอง 383 ปีที่แล้ว
Lecture Shorts: Supply and Demand Shifts
Lecture Shorts: Indifference Curves and Optimal Bundles
มุมมอง 1153 ปีที่แล้ว
Lecture Shorts: Indifference Curves and Optimal Bundles
It is really of great help to my graduation thesis, finally getting to a start. Thanks a lot!
Thank yo for sharing
Thank you sir for the explanation
Thank you
Dr. Todd is my favorite teacher
Hello sir, watching from India, your enthusiasm to teach new people and shape the new generation is really commendable. Thank you so much for your efforts. I found this channel from your video on World Bank open datasets. I would like to request you if you can use AI like Mister Beast and translate your upcoming videos into Hindi. I mean to say that TH-cam has that option by which you can share your video with dual audio, so you can cater to your English audience as well, and we Indians can learn from a great teacher like you. Even if it is not possible, we will watch your videos by turning on the subtitles. A big thank you. 🙏
Came here for the music, unfortunately.
Thank you for this! Just an UPDATE!! the merge command is now replaced by merge 1:1, merge m:1, merge 1:m and merge m:m
Thank you!
thank you for your explanation, i have a question. IF i know that my MC = x (given by the exercise), and mc increased 1$ for each unit how i can change the function? MC= x+1 doesn't seam right, MC= x+ x1 doesnt seam right too
you are an absolute legend, thank you so much for this!
This is very insightful. Thank you for the great exposition.
Thank you, sir
Super helpful ! Thanks a lot
Can I just say I have been stuck on this and you just helped . honestly thank you.
In my dataset, there's no data from 1960 to 1988 in the same world bank co2 dataset. How's that possible?
I have some specific questions: (1) If the Hausman test favors the RE model over the FE model, can I still proceed with using the FE model? (It is because in the management field, considering that FE is more prevalent in research papers.) Is the Hausman test an absolute criterion? (2) I am using a two-way model with i.time and i.industry. Can both FE and RE models be applied in this case, or is only FE suitable? (3) In one of your TH-cam videos, you mentioned that when time-invariant variables (e.g., gender) are included, the RE model [(cov(z_i, u_i) ≠ 0)] instead of FE model [(cov(z_i, u_i) = 0)] is more likely to be preferred. In my case, the independent variables consist of "diversity" measured by gender, age, and education level. As age is a time-variant variable, would it still be appropriate to favor the RE model? (4) The secondary panel data includes industry classifications with 2-digit and 3-digit numbers. When conducting research with industry as a factor, is there a preference for using 2-digit or 3-digit numbers? Or is it at the discretion of the researcher? (It is because there is limited specific explanation in previous studies). I have reached out to the authors, but they used different industry numbers in each case. Thank you. I am looking forward your response for my question. Sincerely, James
Thank you for this amazing video!
Thank you very much for this insightful and extremely helpful video! Doing God's work truly!
Sir, amazing ...gratitude
Thanks for this. What if the date should be monthly? For instance, I am looking for a way to convert a j=4 to 29Jan1986.
Great! Thanks a lot!
Exactly what I needed to do! Thanks a lot!
This video helped me so much! Thank you.
Thank you so much. Clutch af.
GOAT
Thank you! And I wonder if you could share the name of the background music?
Thank Todd, nice vid! How would I be able deal with quarters instead years? Thanks in advance...
It really shouldn't be any different. Just treat each column (wide form) as a "time period." It doesn't matter if its annual or quarterly or daily even.
@@toddr.yarbroughph.d.478 Question. I have limited knowledge of computers. I can do quite a bit in Excel. I can do QuickBooks. But I really don't have much experience beyond that. How long would it take me to independently become proficient in Stata?
Hi Sir! Thanks for sharing this video. It's really helpful for me to have good understanding in CV and EV Concept. Wish you will release the version of CV and EV explanation on the better environment quality. Will it be just the reverse?
Good job sir. Thanks 👍
Thank you
How would we go about this same issue if we had multiple variables of interest? (Hence our data would already be wide and long) Thank you for any advice!
Hmmm, you may be able to use multiple stubs? I can try this later to see. Otherwise I may just extract into separate data sets. I’m sure there is a more efficient way, but when in doubt I just divide and conquer!
hi Petra, were you able to figure this out? I am in a similar situation whith a lot of variables and your experience might save me a lot of time. Thanks.
@@lubin509 Hi were you able to find a solution?
The knowledge is perfect, the music is The Good.
Thank you for this great video, after applying your method it is appropriate to re-test for heteroskedasticity or its not appropriate?
I need bank loans data guide me plz
Where/when?
Thank you very much this was great very useful
Extremely helpful video!
thanks for the thorough explanation, really helpful!
Is there a way we can do this using python or excel power query?
See link. In my few forays into Python I've found this very useful: www.danielmsullivan.com/pages/tutorial_stata_to_python.html
if I have done WLS and will do the next test (eg normality or SFA), which variable should I use? thx
Strange choice of music but helpful either way
Thank you.
Thank you!
could you share the next part of this video ? it helps a lot .. thanks a lot
What particularly did you have in mind?
Great lecture. Thanks for sharing
Are you a professor? Didn't see anything in the about section
how do you do the opposite? because I want to calculate averages for each year but my data looks like what you have at the end result.
try: reshape wide var, i(panelvar) j(timevar) OR you can also just use a collapse command to get average for years. Be sure to save data set first though, as collapse changes it. collapse (mean) varname, by(timevar)
I swear this video helped me. Thank you. Nice and straightforward
Great intro video :)
I love the graphics you used during this!! The five borough presidents one is hilarious!