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Index
00:00
1.
Misspecification of Regression Model and Multicollinearity
00:48
2.
Many Possible Misspecifications
03:56
3.
Two Possible Misspecifications in Regression Model
06:18
4.
Missing and Redundant Variables
08:23
5.
Missing Variables in Regression
13:46
6.
Missing Variables (1)
17:32
7.
Missing Variables (2)
18:05
8.
Missing Variables (3)
18:07
9.
Missing Variables (2)
19:07
10.
Missing Variables (3)
20:14
11.
Missing Variables (2)
20:19
12.
Missing Variables (3)
20:37
13.
Which Variance Is Larger?
22:10
14.
Missing Variables (3)
22:31
15.
Which Variance Is Larger?
24:55
16.
Redundant Regressors (1)
24:58
17.
Redundant Regressors (1)
29:34
18.
Conclusions
30:20
19.
Any Thing Wrong Here?
33:38
20.
Multicollinearity
38:19
21.
Any Thing Wrong Here?
38:47
22.
Multicollinearity
43:00
23.
Near Collinearity
45:42
24.
Near Collinearity
47:00
25.
Methods of Detection:
47:02
26.
Methods of Detection:
50:57
27.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
55:59
28.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K+𝜀
57:05
29.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
57:06
30.
Methods of Detection:
57:10
31.
Near Collinearity
57:15
32.
Methods of Detection:
57:27
33.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
57:28
34.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K+𝜀
58:32
35.
No Perfect Solution?
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Professor:USER
Date:2022-10-18
views: 3053
00:00
1.
Misspecification of Regression Model and Multicollinearity
00:48
2.
Many Possible Misspecifications
03:56
3.
Two Possible Misspecifications in Regression Model
06:18
4.
Missing and Redundant Variables
08:23
5.
Missing Variables in Regression
13:46
6.
Missing Variables (1)
17:32
7.
Missing Variables (2)
18:05
8.
Missing Variables (3)
18:07
9.
Missing Variables (2)
19:07
10.
Missing Variables (3)
20:14
11.
Missing Variables (2)
20:19
12.
Missing Variables (3)
20:37
13.
Which Variance Is Larger?
22:10
14.
Missing Variables (3)
22:31
15.
Which Variance Is Larger?
24:55
16.
Redundant Regressors (1)
24:58
17.
Redundant Regressors (1)
29:34
18.
Conclusions
30:20
19.
Any Thing Wrong Here?
33:38
20.
Multicollinearity
38:19
21.
Any Thing Wrong Here?
38:47
22.
Multicollinearity
43:00
23.
Near Collinearity
45:42
24.
Near Collinearity
47:00
25.
Methods of Detection:
47:02
26.
Methods of Detection:
50:57
27.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
55:59
28.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K+𝜀
57:05
29.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
57:06
30.
Methods of Detection:
57:10
31.
Near Collinearity
57:15
32.
Methods of Detection:
57:27
33.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
57:28
34.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K+𝜀
58:32
35.
No Perfect Solution?
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Print date : 2024/12/03
輔仁大學影音教材庫
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計量經濟學
acct-3-Misspecification and Multicollinearity
Duration: 1:03:37,
Browse: 3054,
Last Updated: 2022-10-18
Play Video: http://powercam.fju.edu.tw/media/10517
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Index
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Details
00:00
1.
Misspecification of Regression Model and Multicollinearity
00:48
2.
Many Possible Misspecifications
03:56
3.
Two Possible Misspecifications in Regression Model
06:18
4.
Missing and Redundant Variables
08:23
5.
Missing Variables in Regression
13:46
6.
Missing Variables (1)
17:32
7.
Missing Variables (2)
18:05
8.
Missing Variables (3)
18:07
9.
Missing Variables (2)
19:07
10.
Missing Variables (3)
20:14
11.
Missing Variables (2)
20:19
12.
Missing Variables (3)
20:37
13.
Which Variance Is Larger?
22:10
14.
Missing Variables (3)
22:31
15.
Which Variance Is Larger?
24:55
16.
Redundant Regressors (1)
24:58
17.
Redundant Regressors (1)
29:34
18.
Conclusions
30:20
19.
Any Thing Wrong Here?
33:38
20.
Multicollinearity
38:19
21.
Any Thing Wrong Here?
38:47
22.
Multicollinearity
43:00
23.
Near Collinearity
45:42
24.
Near Collinearity
47:00
25.
Methods of Detection:
47:02
26.
Methods of Detection:
50:57
27.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
55:59
28.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K+𝜀
57:05
29.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
57:06
30.
Methods of Detection:
57:10
31.
Near Collinearity
57:15
32.
Methods of Detection:
57:27
33.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K
57:28
34.
𝑌= 𝑏 0 + 𝑏 1 𝐿+ 𝑏 2 K+𝜀
58:32
35.
No Perfect Solution?
Location
Media Center
...
計量經濟學
Folder name
計量經濟學
Author
李阿乙
Branch
powercam.fju.edu.tw (root)
Created
2022-10-18 15:32:03
Last Updated
2022-10-18 15:47:20
Duration
1:03:37
Media Center
...
計量經濟學
1.
acct-11-VAR
2.
acct-10-Analysis of Non Stationary Time Series Data
3.
acct-9-Limited Dependent Variable
4.
acct-8-Discrete Choice Models-2
5.
acct-8-Discrete Choice Models-1
6.
acct-7-IV and SES
7.
acct-6-Autocorrelation
8.
acct-6-1-sure
9.
accr-5-heteroskedasticity
10.
acct-4-Large Sample Theory and MLE
11.
acct-3-Misspecification and Multicollinearity
12.
acct-2-multiple regression-3
13.
A Program to Introduce RATs
14.
acct-2-multiple regression-2
15.
acct-2-multiple regression-1
16.
acct-1-2-review of matrix theory and mutivariate statistics
17.
acct-1-1-review of statistics