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Dr. Bob Wen (Stata, Economics, Econometrics)
United States
Приєднався 27 чер 2015
Hi, I am Bob. Welcome to my UA-cam channel! Here is the place to learn Stata commands in data analysis, estimation, graphics, and programming. I also share Econometrics and Economics videos. If it helps, please subscribe to my UA-cam channel or become a supporter of the channel. You can also enroll in my free online courses on Alison. Thank you!
As a Ph.D. in Economics, my research interests are intergenerational studies, microeconomics, and applied econometrics. I have completed all Ph.D. courses with a GPA of 4.0. My paper "The Causal Effect of Growing Up in a Two-Parent Household on Child's Adult Earnings" won the Best Paper Award at Northeast Business and Economics Association (NBEA) 48th Annual Meeting.
www.youtube.com/@BobWenEcon
alison.com/course/introductory-stata-2023-graphics-and-data-visualization
大家好,我係Bob。歡迎光臨我嘅UA-cam頻道!喺呢度你可以學會運用Stata進行數據分析,模型估計,作圖,以及編程。我仲會分享計量經濟學同經濟學短片。如果影片對你有幫助,請訂閱我嘅UA-cam頻道,或者成為會員。你亦可以參加我喺Alison嘅免費網上課程。多謝!
As a Ph.D. in Economics, my research interests are intergenerational studies, microeconomics, and applied econometrics. I have completed all Ph.D. courses with a GPA of 4.0. My paper "The Causal Effect of Growing Up in a Two-Parent Household on Child's Adult Earnings" won the Best Paper Award at Northeast Business and Economics Association (NBEA) 48th Annual Meeting.
www.youtube.com/@BobWenEcon
alison.com/course/introductory-stata-2023-graphics-and-data-visualization
大家好,我係Bob。歡迎光臨我嘅UA-cam頻道!喺呢度你可以學會運用Stata進行數據分析,模型估計,作圖,以及編程。我仲會分享計量經濟學同經濟學短片。如果影片對你有幫助,請訂閱我嘅UA-cam頻道,或者成為會員。你亦可以參加我喺Alison嘅免費網上課程。多謝!
Відео
【Solutions to Econometric Analysis】Tutorial 8: Chapter 4 Estimating by Least Squares Exercises 10
Переглядів 1953 місяці тому
Solutions to Econometric Analysis 8th Edition by Professor William Greene Chapter 4 Estimating Regression Models by Least Squares Exercise 10 Hi, I am Bob. Welcome back to the tutorial on the exercises and applications for the textbook Econometric Analysis 8th Edition by Professor William Greene. We will continue to find solutions to the exercises of Chapter 4, Estimating Regression Models by L...
【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十四集:什麼是矩陣的基礎概念和特點?
Переглядів 3883 місяці тому
大家好,我是Bob。歡迎觀看【五分鐘計量經濟學】。在這一集,我會介紹矩陣的基礎概念和特點,包括矩陣的轉置,逆矩陣,Trace,Determinant,和特徵根。 #國語 #普通話 #計量經濟學 #計量經濟學輔導 #矩陣 【我的免費視頻:】 【粵語Cantonese】現實生活中的經濟學: ua-cam.com/play/PLVnZllyvIMyTlreRu86Msrwis-6f9Unze.html 【粵語Cantonese】微觀經濟學基礎: ua-cam.com/play/PLVnZllyvIMyQg_qgMedWyR1_OXvkw6SAL.html 【粵語Cantonese】五分鐘計量經濟學(計量經濟學輔導): ua-cam.com/play/PLVnZllyvIMyQPhDLyiPECG1VfQoL8i3uq.html 【國語Mandarin】現實生活中的經濟學: ua-cam.c...
【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十四集:乜嘢係矩陣嘅基礎概念同特點?
Переглядів 1003 місяці тому
00:00 矩陣 03:15 方矩陣,對稱矩陣,等冪矩陣 06:55 矩陣Trace 08:21 矩陣Determinant 08:44 逆矩陣 10:51 矩陣特徵根 大家好,我係Bob。歡迎收睇【五分鐘計量經濟學】。喺呢一集我會介紹矩陣嘅基礎概念同特點。 #粵語 #矩陣 #計量經濟學 #計量經濟學輔導 【我嘅免費影片:】 【粵語Cantonese】現實生活中的經濟學: ua-cam.com/play/PLVnZllyvIMyTlreRu86Msrwis-6f9Unze.html 【粵語Cantonese】微觀經濟學基礎: ua-cam.com/play/PLVnZllyvIMyQg_qgMedWyR1_OXvkw6SAL.html 【粵語Cantonese】五分鐘計量經濟學(計量經濟學輔導): ua-cam.com/play/PLVnZllyvIMyQPhDLyiPECG1VfQ...
What are Basic Matrix Concepts and Properties? | Econometric Tutorial | Five Minute Econometrics 24
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00:00 Matrix transpose 02:57 Square matrix, symmetric matrix, idempotent matrix 06:49 Matrix trace 08:17 Determinant of a matrix 08:39 Matrix inverse 10:46 Eigenvalues 【Five Minute Econometrics】(Econometric Tutorial) Topic 24: What are the Basic Matrix Concepts and Properties? Hi, I am Bob. Welcome back to the econometric tutorial on basic concepts and theories. In econometric analysis, we ofte...
【Solutions to Econometric Analysis】Tutorial 8: Chapter 4 Estimating by Least Squares Exercises 7-9
Переглядів 993 місяці тому
Solutions to Econometric Analysis 8th Edition by Professor William Greene Chapter 4 Estimating Regression Models by Least Squares 00:00 Exercise 7 05:01 Exercise 8 09:26 Exercise 9 Hi, I am Bob. Welcome back to the tutorial on the exercises and applications of each chapter of the textbook Econometric Analysis 8th Edition by Professor William Greene. We will find solutions to the exercises for C...
【Solutions to Econometric Analysis】Tutorial 7: Chapter 4 Estimating by Least Squares Exercises 5-6
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00:00 Exercise 5 05:26 Exercise 6 Hi, I am Bob. Welcome back to the tutorial on the exercises and applications for the textbook Econometric Analysis 8th Edition by Professor William Greene. Today, I will continue solving the exercise for Chapter 4 of Estimating Regression Model by Least Squares. #EconometricAnalysis #Solution #Tutorial #Exercises #Chapter4 #LeastSquares #Answer #Greene 【Free Co...
【Solutions to Econometric Analysis】Tutorial 6: Chapter 4 Estimating by Least Squares Exercises 1-4
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00:00 Exercise 1 02:50 Exercise 2 06:08 Exercise 3 08:26 Exercise 4 Hi, I am Bob. Welcome back to the tutorial on exercises and applications for the textbook Econometric Analysis 8th Edition by Professor William Greene. Today, we will find answers to exercises 1 to 4 at the end of Chapter 4, Estimating the Regression Model by Least Squares. #EconometricAnalysis #Solution #Tutorial #Exercises #C...
【Solutions to Econometric Analysis】Tutorial 5: Chapter 3 Least Squares Regression Application
Переглядів 1084 місяці тому
Hi, I am Bob. Welcome to the tutorial on the exercises and applications for the textbook Econometric Analysis 8th Edition by Professor William Greene. Today, we will solve the application at the end of chapter 3 of Least Squares Regression. It is about partial regression. We will find answers using matrix algebra in Stata and compare the results with those using the regress command. Please down...
【Solutions to Econometric Analysis】Tutorial 4: Chapter 3 Least Squares Regression Exercises 10-13
Переглядів 974 місяці тому
00:00 Exercise 10 04:03 Exercise 11 07:25 Exercise 12 08:32 Exercise 13 Hi, I am Bob. Welcome back to my solutions to the textbook Econometric Analysis 8th Edition by Professor William Greene. Today, we will do the exercises from 10 to 13. The data file for this tutorial: drive.google.com/file/d/1mkFKxExjhRYWb-auui1yjZqEuqnewDkE/view?usp=sharing #EconometricAnalysis #Solution #Tutorial #Exercis...
【Solutions to Econometric Analysis】Tutorial 3: Chapter 3 Least Squares Regression Exercises 7-9
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00:00 Exercise 7 03:24 Exercise 8 06:04 Exercise 9 Hi, I am Bob. Welcome to the tutorial on the exercises and application for the textbook Econometric Analysis 8th Edition by Professor William Greene. Today, we will solve exercises 7 to 9 at the end of Chapter 3, Least Squares Regression. Real-life examples in Stata are also provided to help you better understand the tutorial. The dataset for t...
【Solutions to Econometric Analysis】Tutorial 2: Chapter 3 Least Squares Regression Exercises 5-6
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00:00 Exercise 5 07:22 Exercise 6 Hi, I am Bob. Welcome back to my solutions to Econometric Analysis, a tutorial on the exercises and applications for the textbook Econometric Analysis 8th edition by Professor William Greene. In addition to providing my answers to the problems step by step, I will verify the results with real-life examples or simulated data in Stata. Today, we will continue sol...
【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十三集:多元變量模型OLS估計量什麼時候跟部分模型OLS估計量相同?
Переглядів 1094 місяці тому
大家好,我是Bob。歡迎觀看【五分鐘計量經濟學】。在這一集,我會介紹多元變量模型OLS估計量在什麼條件下跟部分模型OLS估計量相同。 #國語 #正交部分迴歸定義 #計量經濟學 #計量經濟學輔導 有聯繫的視頻: 如何推導OLS估計量? ua-cam.com/video/Xldtj-eas0I/v-deo.html 什麼是投影矩陣和殘差生成矩陣? ua-cam.com/video/kgM5cFltUZ0/v-deo.html 【我的免費視頻:】 【粵語Cantonese】現實生活中的經濟學: ua-cam.com/play/PLVnZllyvIMyTlreRu86Msrwis-6f9Unze.html 【粵語Cantonese】微觀經濟學基礎: ua-cam.com/play/PLVnZllyvIMyQg_qgMedWyR1_OXvkw6SAL.html 【粵語Cantonese】五分鐘...
【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十三集:多解釋變量模型OLS估計量何時同其部分模型估計量相同?
Переглядів 504 місяці тому
【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十三集:多解釋變量模型OLS估計量何時同其部分模型估計量相同?
When will Coefficients from Multiple Regression be the Same as Partitioned Regression? Econometric23
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When will Coefficients from Multiple Regression be the Same as Partitioned Regression? Econometric23
【Solutions to Econometric Analysis】Tutorial 1: Chapter 3 Least Squares Regression Exercises 1-4
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【Solutions to Econometric Analysis】Tutorial 1: Chapter 3 Least Squares Regression Exercises 1-4
Frankenmuth Ballon Festival 2024 | Michigan
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Frankenmuth Ballon Festival 2024 | Michigan
【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十二集:如何推導OLS估計量(使用代數和矩陣)?
Переглядів 924 місяці тому
【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十二集:如何推導OLS估計量(使用代數和矩陣)?
【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十二集:點樣推導OLS估計量(使用代數同矩陣)?
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【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十二集:點樣推導OLS估計量(使用代數同矩陣)?
How Do We Solve for the OLS Estimator Using Algebra and Matrix? | Econometric Tutorial | Topic 22
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How Do We Solve for the OLS Estimator Using Algebra and Matrix? | Econometric Tutorial | Topic 22
【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十一集:如何推導矩陣形式的OLS估計量?什麼是投影矩陣和殘差生成矩陣?
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【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十一集:如何推導矩陣形式的OLS估計量?什麼是投影矩陣和殘差生成矩陣?
【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十一集:點樣推導矩陣形式OLS估計量?乜嘢係投影矩陣同殘差生成矩陣?
Переглядів 1894 місяці тому
【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十一集:點樣推導矩陣形式OLS估計量?乜嘢係投影矩陣同殘差生成矩陣?
How to Derive OLS Estimator in Matrix Form and What are Projection and Residual Maker Matrixes?
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How to Derive OLS Estimator in Matrix Form and What are Projection and Residual Maker Matrixes?
【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十集:什麼是迴歸模型的矩陣表達形式?
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【Mandarin國語】五分鐘計量經濟學(計量經濟學輔導)第二十集:什麼是迴歸模型的矩陣表達形式?
【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十集:乜嘢係內生解釋變量同外生解釋變量?
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【Cantonese粵語】五分鐘計量經濟學(計量經濟學輔導)第二十集:乜嘢係內生解釋變量同外生解釋變量?
What is the Matrix Form of Regression Models? | Five Minute Econometrics | Tutorial | Topic 20
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What is the Matrix Form of Regression Models? | Five Minute Econometrics | Tutorial | Topic 20
I really needed this but I cannot understand your steps unfortunately
GOATED, thanks!
Dr. Bob you're a lifesaver
Thank you so much!
Thank you so much ! Very useful
Very intersting
125 Yasmin Plaza
Very insightful presentation, but I am struggling to comprehend the IMR
DBEE, DBEE, DBEE!!! I am chanting your initials Dr Bob!
Hello Dr. Wen, i have one question. Why do you choose num__children to include in step 1 but not step 2?
Thank you, Professor. You save me
Sir you have skipped the calculus in comparative statics. Please add that as well( The part in which we are suppose to differentate this eq with respect to a D(p(a)) = S(p(a), a))
you'r the boss
Thank you so much for giving out many free teaching vidoes
I love you from Brazil
Hello Professor Bob, first of all, thank you very much for the video, that question came to me in my evaluation of the econometrics I course and at the time I had no idea how to develop it, I am from Peru. Just one question, I look at the A-66 but it is not very clear to me how it replaces it, refer to xs term in the expression, please if explain this part. Greetings.
Great video Dr. Bob! It's a real game changer to have you explain these topics, while also having to do this exact book in our curriculum. You're a hero! Do you also have video's where you cover appendix A - E in the book by any chance?
Bob
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鑽石根本不稀有,係買出果個人講稀有啫,信咗就比錢啦😂
謝謝分享
Dear Dr. Bob Wen. Could you share the stata code for solutions
Thank you very much
Thanks Bob!
You are the reason I am passing!! Thank you! 🙏
thank you dr bob !
謝謝老師。我是台灣的學生。
謝謝妳
Thank you so much for this video! Do you have any ideas on how to show the sample bubble size as the legend? Without telling the readers the counts of a few sample bubbles, it is difficult to infer the size of each bubble in the plot.
You are a very good teacher, Bob Wen. I failed to follow ALL THE OTHER videos because the speakers were too fast (who speaks so quickly, teaching? How can one learn? The y have to put themselves in the learner's shoes.) But you, Bob, are so good. Keep it up!!!!
Thanks, helped me a lot to generate my output!
Waw🎉is WONDERFUL !
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Thank you so much.
Thank you
Great explanation, thank you!
you're amazing Bob! Love from Italy
great video love u bob xoxo
Thank you my friend <3 <3
Thanks for your help
Thank you Dr Bob youre a goat
Thank you for your teaching videos. They are very helpful. I was wondering if you have a video on how to combined more than one observations into one single observation in stata. To be clear, let us assume this scenario on disability types: 1- Difficulty in seeing : Yes = 1, No = 0 2- Difficulty in walking : Yes = 1, No = 0 3- Difficulty in speaking: Yes = 1, No = 0 4- Difficulty in hearing : Yes = 1, No = 0 Then we want to combine all these 4 observations into one single observation. This single observation can be named Persons with disability ( Yes: 1, No:0), Any guidance will be appreciated.
generate disability=0 replace disability=1 if diff_see==1 | diff_wal==1 | diff_spe==1 | diff_hea==1