課程資訊
課程名稱
微課程-網絡資料之計量方法
Mini-course in Econometrics of Networks 
開課學期
108-2 
授課對象
社會科學院  經濟學研究所  
授課教師
謝志昇 
課號
ECON5173 
課程識別碼
323EU7190 
班次
 
學分
1.0 
全/半年
半年 
必/選修
選修 
上課時間
 
上課地點
 
備註
本課程以英語授課。於2/10-11的9-12時、14-17時,及2/12 9-12時密集上課。教室:社科研608。
限學士班三年級以上 或 限碩士班以上
總人數上限:20人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1082ECON5173 
課程簡介影片
 
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課程概述

Networks are important in shaping behavior in many social, political, and economic environments. Networks affect the outcomes of wars when different militant groups form alliances and conflicts can spread across national borders. Economic production and supply chains are organized as networks, and the properties of these networks are important for the stability of the economy against shocks. Through networks of research and development (R&D) collaborations between firms new technologies are discovered and diffuse in the industry. Similarly, co-authorship networks in academic research play an indispensable role in the process of scientific discovery and knowledge production. The many aspects that are governed by networks make it critical to understand how they impact behavior, which network structures are likely to emerge, and how they affect welfare in the society. This course offers an introduction to social and economic networks, drawing on the latest findings in economics, statistics and econometrics. It provides empirical background on networks and their regularities, and discusses modern econometric tools to analyze them.

This course will be taught by Prof. Michael Konig who visits NTU from Vrije Universiteit Amsterdam. He research interest is economic analysis of networks. His publications appear in Econometrica, Theoretical Economics, Review of Economics and Statistics, Games and Economic Behavior, Journal of Economic Behavior and Organization, and others.
 

課程目標
The goal is to help students, researchers and practitioners to understand outcomes and behaviors in networked societies, and to be able to evaluate real world policy instruments in this context. 
課程要求
Please note that the classroom is changed to Social Science Building room 402. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
• Bramoulle, Yann, Andrea Galeotti, and Brian Rogers. The Oxford Handbook of the Economics of Networks. Oxford University Press, 2016.
• Jackson, Matthew and Zenou, Yves, Games on Networks, Handbook of Game Theory, Vol. 4, Amsterdam: Elsevier, 2014.2
• Kolaczyk, Eric, Statistical Analysis of Network Data: Methods and Models, Springer, 2009.
• Kolaczyk, Eric and Csárdi, Gábor, Statistical Analysis of Network Data with R, Springer, 2014.
• LeSage, James, and Robert Kelley Pace. Introduction to Spatial Econometrics. Chapman and Hall/CRC, 2009.
 
參考書目
• Vega-Redondo, Fernando, Complex Social Networks, Cambridge University Press, 2007.
• Cameron, A. Colin, and Pravin K. Trivedi. Microeconometrics: methods and applications. Cambridge University Press, 2005.
• Brandes, Ulrik, and Thomas Erlebach, eds. Network analysis: methodological foundations. Vol. 3418. Springer, 2005.
• Wainwright, Martin and Jordan, Michael, Graphical models, exponential families, and variational inference, Foundations and Trends in Machine Learning, Now Publishers Inc., 2008.
• Airoldi, E., Goldenberg, A., Zheng, A. and Fienberg, S., A Survey of Statistical Network Models, Machine Learning, 2009.
• Jackson, Matthew, Social and Economic Networks, Princeton University Press, 2008.
• Newman, Mark, Networks: An Introduction, Oxford University Press, 2010.
• Goyal, Sanjeev, Connections: An introduction to the economics of networks, Princeton University Press, 2007.
• König, Michael D. and Battiston, Stefano, From Graph Theory to Models of Economic Networks. A Tutorial., in Networks, Topology and Dynamics, Theory and Applications to Economics and Social Systems, Springer, 2008.4
• D. Easley, J. Kleinberg. Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, 2010.
• Young, Peyton, Individual strategy and social structure: An evolutionary theory of institutions, Princeton University Press, 1998.
• Hurd, T. R. Contagion! The Spread of Systemic Risk in Financial Networks, Springer, 2015.
• Van der Hofstad, Remco, Random Graphs and Complex Networks, Vol. I+II, 2014.5
• Durrett, Richard, Random Graph Dynamics, Cambridge University Press, 2007.
• Grimmett, Geoffrey, Probability on Graphs, Cambridge University Press, 2010.
• Mesbahi, Mehran and Egerstedt, Magnus, Graph theoretic methods in multiagent networks, Princeton University Press, 2010.
• Mitzenmacher, Michael, and Eli Upfal. Probability and computing: Randomized algorithms and probabilistic analysis, Cambridge University Press, 2005.
• West, Douglas, Introduction to graph theory., Vol. 2. Upper Saddle River: Prentice hall, 2001.
• Van Mieghem, Piet, Graph spectra for complex networks, Cambridge University Press, 2011.
• Carrington, Peter, John Scott, and Stanley Wasserman, Models and methods in social network analysis, Vol. 28. Cambridge University Press, 2005.
• Stein, Clifford, T. Cormen, R. Rivest, and C. Leiserson. Introduction to algorithms, The MIT Press 2001.
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Take-home final exam 
100% 
 
 
課程進度
週次
日期
單元主題