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高级计量经济学（洪永淼：英文字幕2020版）

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This course introduces systematically the basic theory and methods of modern econometrics by using a unified analyzing frame.
教育
经济学
数学
公开课
线上课程
计量经济学
厦大经济 发消息
厦门大学经济学院 王亚南经济研究院 邹至庄经济研究院
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1.1Course Introduction and Course Requirements
18:39
1.2 Roles of Econometrics
08:28
1.3 Illustrative Examples
01:18:57
1.4 Limitations of Econometric Analysis
23:33
2.1 Conditional Probability Distribution
14:48
2.2 Regression Analysis (Part 1)
42:19
2.2 Regression Analysis (Part 2)
45:53
2.3 Linear Regression Modeling
49:28
2.4 Correct Model Specification for Conditional Mean
31:15
3.1 Frameworks and Assumptions (part 1)
34:36
3.1 Frameworks and Assumptions (part 2)
17:44
3.1 Frameworks and Assumptions (part 3)
20:28
3.2 OLS Estimation (part 1)
22:50
3.2 OLS Estimation (part 2)
33:48
3.2 OLS Estimation (part 3)
27:00
3.3 Goodness of Fit and Model Selection Criteria (part 1)
37:48
3.3 Goodness of Fit and Model Selection Criteria (part 2)
24:31
3.4 Consistency and Efficiency of OLS (part 1)
37:10
3.4 Consistency and Efficiency of OLS (part 2)
18:08
3.4 Consistency and Efficiency of OLS (part 3)
32:38
3.5 Sampling Distribution of OLS
24:04
3.6 Variance Matrix Estimator for OLS
19:17
3.7 Hypothesis Testing (part 1)
23:53
3.7 Hypothesis Testing (part 2)
22:40
3.7Hypothesis Testing (part 3)
23:55
3.8 Applications (part 1)
36:09
3.8 Applications (part 2)
24:46
3.9 Generalized Least Squares (GLS) Estimation (part 1)
41:30
3.9 Generalized Least Squares (GLS) Estimation (part 2)
20:50
4.1 Introduction to Asymptotic Theory (part 1)
31:00
4.1 Introduction to Asymptotic Theory (part 2)
35:27
4.1 Introduction to Asymptotic Theory (part 3)
29:00
4.1 Introduction to Asymptotic Theory (part 4)
22:41
4.2 Frameworks and Assumptions
17:06
4.3 Consistency of OLS
16:20
4.4 Asymptotic Normality of OLS
23:26
4.5 Asymptotic Variance Estimation
45:17
4.6 Hypothesis Testing
39:20
4.7 Testing for Conditional Homoskedasticity
24:36
4.8 Conclusion
05:24
5.1 Introduction to Time Series Analysis (part 1)
38:53
5.1 Introduction to Time Series Analysis (part 2)
39:37
5.1 Introduction to Time Series Analysis (part 3)
29:37
5.1 Introduction to Time Series Analysis (part 4)
37:52
5.1 Introduction to Time Series Analysis (part 5)
39:49
5.1 Introduction to Time Series Analysis (part 6)
28:17
5.2 Framework and Assumptions and 5.3 Consistency of OLS
12:07
5.4 Asymptotic Normality of OLS and 5.5 Asymptotic Variance Estimator for OLS
26:38
5.6 Hypothesis Testing (part 1)
36:24
5.6 Hypothesis Testing (part 2)
22:15
5.7 Testing for Conditional Heteroskedasticity and Autoregressive conditional He
34:50
6.1 Framework and Assumptions
11:02
6.2 Long-run Variance Estimation (part 1)
19:35
6.2 Long-run Variance Estimation (part 2)
25:57
6.2 Long-run Variance Estimation (part 3)
24:15
6.3 Consistency of OLS and 6.4 Asymptotic Normality of OLS
11:03
6.5 Hypothesis Testing and 6.7 A Classical Ornut-Cochrane Procedure
30:39
7.0 Introduction of Chapter 7 Instrumental Variables Regression (part 1)
25:41
7.0 Introduction of Chapter 7 Instrumental Variables Regression (part 2)
14:57
7.1 Framework and Assumptions
09:32
7.2 Two-Stage Least Squares (2SLS) Estimation (part 1)
09:20
7.2 Two-Stage Least Squares (2SLS) Estimation (part 2)
42:24
7.3 Consistency of 2SLS and 7.4 Asymptotic Normality of 2SLS
21:59
7.6 Hypothesis Testing
41:27
7.7 Hausman's Test
10:09
8.1 Introduction to the Method of Moments Estimation (MME)
13:40
8.2 Generalized Method of Moments (GMM) Estimation (Part 1)
22:51
8.2 Generalized Method of Moments (GMM) Estimation (Part 2)
25:24
8.3 Consistency of GMM
10:28
8.4 Asymptotic Normality of GMM
37:55
8.5 Asymptotic Efficiency of GMM (Part 1)
25:02
8.5 Asymptotic Efficiency of GMM (Part 2)
21:22
8.6 Asymptotic Variance Estimator
09:21
8.7 Hypothesis Testing
27:58
8.8 Model Specification Testing (Part 1)
31:26
8.8 Model Specification Testing (Part 2)
31:59

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