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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Industrial Engineering and Economics
- Instructor(s)
- Shimane Tetsuya Higuchi Yoichiro
- Class Format
- Lecture / Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Tue5-6(W932) Fri5-6(W932)
- Group
- -
- Course number
- IEE.B336
- Credits
- 2
- Academic year
- 2016
- Offered quarter
- 2Q
- Syllabus updated
- 2016/4/27
- Lecture notes updated
- 2016/8/8
- Language used
- Japanese
- Access Index
-
Lecture
Lecture 1 Guidance, The forms of Data Sets
2016.6.14(Tue.) 5-6Session
Lecture
Lecture 2 Linear Regressions: OLS(1) Lest Squared Method, Hypothesis Test (Coefficients)
2016.6.17(Fri.) 5-6Session
Lecture
Lecture 3 Linear Regressions: OLS(2) Hypothesis Test (Joint Hypothesis), Model Specification (Overspecification and underspecification)
2016.6.21(Tue.) 5-6Session
Lecture
Lecture 4 Linear Regressions: OLS(3) Predictions, Function Forms, Multicollinearity
2016.6.24(Fri.) 5-6Session
Lecture
Lecture 5 Linear Regressions: OLS(4) Panel Data Model(FE, FD), DID
2016.6.28(Tue.) 5-6Session
Lecture
Lecture 6 Linear Regressions: GLS(1) Heteroscedasticity
2016.7.1(Fri.) 5-6Session
Lecture
Lecture 7 Linear Regressions: GLS(2) Serial correlation
2016.7.5(Tue.) 5-6Session
Lecture
Lecture 8 Linear Regressions: GLS(3) SUR model, Panel Data Model(RE)
2016.7.8(Fri.) 5-6Session
Lecture
Lecture 9 Linear Regressions: Endogeneity(1) Error-in-Variable model, Simultaneous Equations Model, Instrumental Variable Methods
2016.7.12(Tue.) 5-6Session
Lecture
Lecture 10 Linear Regressions: Endogeneity(2) Identification Problem
2016.7.15(Fri.) 5-6Session
Lecture
Lecture 11 Linear Regressions: Endogeneity(3) GMM
2016.7.19(Tue.) 5-6Session
Lecture
Lecture 12 Non-linear Regressions: Maximum Likelihoods Method, Binary Models
import_Wooldridge2010_data(1KB)
Lecture
Lecture 13 Non-linear Regressions: Multinomial Models, Ordered Models
2016.7.26(Tue.) 5-6Session
Lecture
Lecture 14 Non-linear Regressions: Truncated/Censored Dependents, Tobit Model
2016.7.29(Fri.) 5-6Session
Lecture
Lecture 15 Non-linear: Selectivity Bias, Heckit Model
2016.8.2(Tue.) 5-6Session
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