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課程名稱 |
經濟學與計量經濟學專題
Topics in Economics and Econometrics |
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開課學期 |
110-2 |
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授課對象 |
社會科學院 經濟學研究所 |
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授課教師 |
郭漢豪 |
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課號 |
ECON5169 |
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課程識別碼 |
323EU1080 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期三2,3,4(9:10~12:10) |
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上課地點 |
社科402 |
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備註 |
本課程以英語授課。
限學士班三年級以上 或 限碩士班以上 或 限博士班
總人數上限：50人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1102ECON5169_ |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
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. |
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課程目標 |
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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課程要求 |
1. Prerequisites
No econometrics knowledge is assumed. Each topic will be developed at the beginner level so that the course is self-contained. But a certain level of mathematical maturity is expected (see Wikipedia for interesting definitions of mathematical maturity). Precisely, the prerequisites are
(1) introductory microeconomics;
(2) basic calculus, linear algebra, probability, and statistics.
Essentially, students are expected to know what are market (competitive and non-competitive), demand, supply, differentiation, integration, optimization (unconstrained and constrained), Lagrange multiplier, matrix, probability, distribution, density, expectation (conditional and unconditional), mean, variance, and covariance.
This course is suitable for those who are interested in econometrics and statistics for social sciences. Students who have no training in economics but have solid background in mathematics and statistics are welcome.
2. Expectation
Students are expected to review and study the theories developed in classes. The examinations essentially test students' understanding of the theories taught in classes. |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
Econometrics
1. Hayashi, F. 2000. Econometrics. Princeton University Press, Princeton.
2. Cameron, A.C., Trivedi, P.K., 2005. Microeconometrics: Methods and Applications. Cambridge University Press, Cambridge.
3. Wooldridge, J.M., 2010. Econometric Analysis of Cross Section and Panel Data, 2nd ed. The MIT Press, Cambridge.
4. Lee, M.J., 2010. Micro-econometrics: Methods of Moments and Limited Dependent Variables, 2nd ed. Springer, New York.
Statistics
1. Konishi, S., 2014. Introduction to Multivariate Analysis: Linear and Nonlinear Modeling. CRC Press, Boca Raton. |
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參考書目 |
Econometrics
1. Eatwell, J., Milgate, M., Newman, P. (Eds.), 1990. The New Palgrave: Econometrics. The Macmillan Press Limited, London.
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. Hassani, H., Mills, T.C., Patterson, K. (Eds.), 2006. Palgrave Handbook of Econometrics, Volume 1: Econometric Theory. Palgrave Macmillan, New York.
5. Mills, T.C., Patterson, K. (Eds.), 2009. Palgrave Handbook of Econometrics, Volume 2: Applied Econometrics. Palgrave Macmillan, New York.
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.
Statistics
1. Efron, B., Hastie, T., 2016. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science. Cambridge University Press, Cambridge.
2. Bickel, P.J., Doksum, K.A., 2015. Mathematical Statistics: Basic Ideas and Selected Topics, Volume 1. CRC Press, Boca Raton.
3. Bickel, P.J., Doksum, K.A., 2016. Mathematical Statistics: Basic Ideas and Selected Topics, Volume 2. CRC Press, Boca Raton.
4. Wasserman, L., 2004. All of Statistics: A Concise Course in Statistical Inference. Springer, New York.
5. Wasserman, L., 2010. All of Nonparametric Statistics. Springer, New York.
Model selection and model averaging
1. Claeskens, G., Hjort, N.L., 2008. Model Selection and Model Averaging. Cambridge University Press, Cambridge.
2. Konishi, S., Kitagawa, G., 2008. Information Criteria and Statistical Modeling. Springer, New York. |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第1週 |
2/16 |
Review of basic economics and econometrics |
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第2週 |
2/23 |
Review of basic economics and econometrics |
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第3週 |
3/02 |
Econometric methods for cross-sectional and panel data |
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第4週 |
3/09 |
Econometric methods for cross-sectional and panel data |
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第5週 |
3/16 |
Economics and econometrics of social networks |
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第6週 |
3/23 |
Economics and econometrics of social networks |
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第7週 |
3/30 |
Spatial econometrics |
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第8週 |
4/06 |
Spatial econometrics |
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第9週 |
4/13 |
Bayesian econometrics |
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第10週 |
4/20 |
Bayesian econometrics |
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第11週 |
4/27 |
Prediction, model selection, model averaging |
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第12週 |
5/04 |
Prediction, model selection, model averaging |
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第13週 |
5/11 |
Endogeneity, selection bias, self-selection, control functions |
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第14週 |
5/18 |
Endogeneity, selection bias, self-selection, control functions |
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第15週 |
5/25 |
Poverty, inequality, intergenerational mobility |
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第16週 |
6/01 |
Poverty, inequality, intergenerational mobility |
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