課程名稱 
產業組織實證方法 Empirical Methods in Industrial Organization 
開課學期 
1052 
授課對象 
社會科學院 經濟學研究所 
授課教師 
黃景沂 
課號 
ECON7201 
課程識別碼 
323 M6330 
班次 

學分 
2.0 
全/半年 
半年 
必/選修 
選修 
上課時間 
星期五3,4(10:20~12:10) 
上課地點 
社科研604 
備註 
限碩士班以上 總人數上限：25人 
Ceiba 課程網頁 
http://ceiba.ntu.edu.tw/1052ECON7201 
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課程概述 
The goal of this course is to familiarize students with empirical analysis in industrial organization. Specifically, we will talk about the development of New Empirical Industrial Organization in the past two decades.
See more details at:
http://homepage.ntu.edu.tw/~chingihuang/teaching/IO2017/syllabus_IO_2017.pdf 
課程目標 
From the view of antitrust, we want to estimate market power. (For example, the regulator wants to know whether a proposed merger should be allowed.) Since products in most industries are horizontally differentiated, we will spend most of the time on consumer's discrete choice of products in a differentiated market. We will introduce the BLP's (Berry, Levinsohn, and Pakes) framework to empirically analyze this discrete choice problem. We then apply this framework to study various issues, such as price discrimination, competition of durable products, environmental policies. We will also teach Maltab programming to apply these empirical methods.
There is no formal prerequisite. However, you should have learned some econometrics. You are expected to have known OLS, IV estimation, MLE, and GMM. You are also expected to have known basic solution concepts in game theory, such as Nash equilibrium, subgame perfect equilibrium, and perfect Bayesian equilibrium. Basic knowledge of theoretical Industrial Organization is helpful. 
課程要求 
Grades will be determined by classroom participation (20%), one classroom presentation (30%), a takehome midterm exam (25%), and a takehome final exam (25%). Please make sure you can take the exams before enrolling this course. 
預期每週課後學習時數 

Office Hours 

參考書目 
http://homepage.ntu.edu.tw/~chingihuang/teaching/IO2017/ 
指定閱讀 
http://homepage.ntu.edu.tw/~chingihuang/teaching/IO2017/

評量方式 (僅供參考) 

