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Course title |
Topics in Economics and Econometrics |
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Semester |
109-2 |
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Designated for |
COLLEGE OF SOCIAL SCIENCES DEPARTMENT OF ECONOMICS |
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Instructor |
HON HO KWOK |
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Curriculum Number |
ECON5169 |
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Curriculum Identity Number |
323EU1080 |
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Class |
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Credits |
3.0 |
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Full/Half
Yr. |
Half |
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Required/
Elective |
Elective |
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Time |
Wednesday 2,3,4(9:10~12:10) |
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Remarks |
Restriction: juniors and beyond OR Restriction: MA students and beyond OR Restriction: Ph. D students
The upper limit of the number of students: 50. |
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Ceiba Web Server |
http://ceiba.ntu.edu.tw/1092ECON5169_ |
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Course introduction video |
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Table of Core Capabilities and Curriculum Planning |
Table of Core Capabilities and Curriculum Planning |
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Course Syllabus
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Please respect the intellectual property rights of others and do not copy any of the course information without permission
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Course Description |
This course is about applying economics and econometrics to study the real world. We will study important topics in the research frontiers, for example, economic and social interactions in networks, behaviors and information diffusions in economic and social networks, poverty, inequality, and intergenerational mobility.
First, the course focuses more on econometrics because it is about studying the real world. Second, this course emphasizes the integration of economics and econometrics. We will consider the economic foundations of the econometric models and methods.
This course will help students integrating their knowledge in introductory economics and econometrics to the theories in academic research papers. Students will learn a general theoretical structure of economics and econometrics, which will help them progressing from being a student to being a researcher.
This course is “self-contained” in the sense that the only prerequisites are (1) introductory economics and econometrics, and (2) basic calculus, linear algebra, and statistics (these basic mathematical methods are required for calculation purposes; deep understanding of mathematical theories is not required). This course focuses on the ideas and intuitions of models, methods, and proofs. Empirical examples and applications will be given. |
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Course Objective |
This course aims at developing students’ ability of applying economics and econometrics. After the training in this course, hard-working students will be well-prepared for master or doctoral programs at top universities in Asian and western countries, and will have the ability to conduct basic research. |
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Course Requirement |
Students are expected to review and study the theories developed in classes. |
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Student Workload (expected study time outside of class per week) |
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Office Hours |
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Designated reading |
Slides and notes for some topics will be provided. Some chapters of the books in the suggested reading list will be used. In the classes, it will be clear that which chapters of which books are related to the discussions. |
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References |
Econometrics
1. Cameron, A.C., Trivedi, P.K., 2005. Microeconometrics: Methods and Applications. Cambridge University Press, Cambridge.
2. Durlauf, S.N., Blume, L.E. (Eds.), 2010. Microeconometrics. Palgrave Macmillan, Basingstoke.
3. Durlauf, S.N., Blume, L.E. (Eds.), 2010. Macroeconometrics and time series analysis. Palgrave Macmillan, Basingstoke.
4. Eatwell, J., Milgate, M., Newman, P. (Eds.), 1990. The New Palgrave: Econometrics. The Macmillan Press Limited, London.
5. Hayashi, F. 2000. Econometrics. Princeton University Press, Princeton.
6. Lee, M.J., 2010. Micro-econometrics: Methods of Moments and Limited Dependent Variables, 2nd ed. Springer, New York.
7. Wooldridge, J.M., 2010. Econometric Analysis of Cross Section and Panel Data, 2nd ed. The MIT Press, Cambridge.
Panel data econometrics
1. Baltagi, B.H. (Ed.), 2015. The Oxford Handbook of Panel Data. Oxford University Press, Oxford.
2. Hsiao, C., 2014. Analysis of Panel Data. 3rd ed. Cambridge University Press, New York.
3. Matyas, L., Sevestre, P. (Eds.), 2008. The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice, 3rd ed. Springer.
Social interactions and networks
1. Bramoulle, Y., Galeotti, A., Rogers, B.W. (Eds.), 2016. The Oxford Handbook of The Economics of Networks. Oxford University Press, New York.
2. Easley, D., Kleinberg, J., 2010. Networks, Crowds, and Markets: Reasoning about a Highly Connected World. Cambridge University Press.
3. Jackson, M.O., 2008. Social and Economic Networks. Princeton University Press, Princeton.
4. Newman, M.E.J., 2010. Networks: An Introduction. Oxford University Press, Oxford.
Model selection and model averaging
1. Claeskens, G., Hjort, N.L., 2008. Model Selection and Model Averaging. Cambridge University Press, Cambridge. |
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Grading |
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Week |
Date |
Topic |
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第1週 |
2/24 |
Review of basic economics and econometrics |
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第2週 |
3/03 |
Review of basic economics and econometrics |
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第3週 |
3/10 |
Economics and econometrics of linear social interactions models |
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第4週 |
3/17 |
Economics and econometrics of linear social interactions models |
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第5週 |
3/24 |
Spatial econometrics |
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第6週 |
3/31 |
Spatial econometrics, midterm examination |
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第7週 |
4/07 |
Economics of social interactions |
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第8週 |
4/14 |
Economics of social interactions |
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第9週 |
4/21 |
Econometric methods for cross-sectional and panel data |
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第10週 |
4/22 |
Econometric methods for cross-sectional and panel data |
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第11週 |
4/28 |
Model selection and model averaging |
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第12週 |
5/05 |
Model selection and model averaging, midterm examination |
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第13週 |
5/12 |
Endogeneity, selection bias, self-selection, control functions |
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第14週 |
5/19 |
Endogeneity, selection bias, self-selection, control functions |
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第15週 |
5/26 |
Causality, treatment effects |
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第16週 |
6/02 |
Causality, treatment effects |
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第17週 |
6/09 |
Poverty, inequality, intergenerational mobility |
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