本課程教學大綱已提供完整英文資訊（本選項僅供統計使用，未提供完整英文資訊者，得免勾記）【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】
This course will teach you quantitative research methods when you conduct an industrial analysis. I will also take several industries as examples to discuss how to apply these quantitative methods. Because our discussion in this course is based on the concepts in economics and statistics, I strongly suggest you have a good understanding in economics (microeconomics or managerial economics) and statistics before you take this course. This course have two parts: analysis tools/quantitative methods, and how to use these tools on important issues in industrial analysis. In the method part, I will focus on regression analysis. We will discuss how to use this method, and how to properly interpret the regression result; I will then introduce topics regarding endogeneity, nonlinear regression, and interaction terms. We will also discuss how to analysis time-series cross-sectional data, and how to use this type of data to deal with the omitted variable bias (one kind of endogeneity). In the application part, I will discuss issues relevant to demand, supply, and market structure. When discussing issues about demand, I will teach you how to find demand curves via market data; hence, I will introduce instrumental variable regression. When discussing issues about supply, we will discuss how to estimate production functions and the impact of technological change on industries. Finally, we will discuss issues regarding market structure, such as market concentration, and firm entry and survival. Moreover, to let you have an opportunity to apply these quantitative methods to practice, you need to complete a group project. In this project, you have to pick an industry first. Then, you have to collect data, and try to find the demand or supply curve, or try to answer relevant questions in that industry via data. You can learn how to make decisions based on evidence; understand the idea of evidence-based management.
課程目標 Objectives
1. Understand the quantitative methods in industrial analysis. 2. Know how to use market or industrial data to get market or industrial insights. 3. Know how to answer managerial questions via data.
參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念，不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use
1. Required reading: James H. Stock and Mark W. Watson (2010) 胥愛琦與呂瓊瑜譯。計量經濟學。台北：台灣培生教育 (ISBN: 978-986-280-021-8)。 2. Required reading: Related papers or industry analysis reports, which will be regularly posted on the National Sun Yat-sen Cyber University. 3. Reference: 陳正倉、林惠玲、陳忠榮與莊春發 (2014)。產業經濟學。台北：雙葉書廊 (ISBN: 978-986-7433-80-0)。
每週課程內容及預計進度 Weekly scheduled progress
週次
日期
授課內容及主題
Week
Date
Content and topic
1
2022/02/13~2022/02/19
Course Introduction
2
2022/02/20~2022/02/26
Basic Tool: Regression Analysis
3
2022/02/27~2022/03/05
Basic Tool: Regression Analysis
4
2022/03/06~2022/03/12
Basic Tool: Regression Analysis and Causal Inference
5
2022/03/13~2022/03/19
Basic Tool: Regression Analysis and Causal Inference
6
2022/03/20~2022/03/26
Basic Tool: Regression Analysis and Nonlinear Models
7
2022/03/27~2022/04/02
Basic Tool: Regression Analysis and Time-series Cross-sectional Data
8
2022/04/03~2022/04/09
Midterm
9
2022/04/10~2022/04/16
Demand: Estimate Demand Curve and Instrumental Variable Regression
10
2022/04/17~2022/04/23
Demand: Estimate Demand Curve and Instrumental Variable Regression
11
2022/04/24~2022/04/30
Demand: Real Estate Industry
12
2022/05/01~2022/05/07
Supply: Estimate Production Functions
13
2022/05/08~2022/05/14
Supply: Estimate Production Functions
14
2022/05/15~2022/05/21
Market Structure: Firm Entry and Survival
15
2022/05/22~2022/05/28
Final Exam
16
2022/05/29~2022/06/04
Group Presentation and Discussion
17
2022/06/05~2022/06/11
Group Presentation and Discussion
18
2022/06/12~2022/06/18
課業討論時間 Office hours
時段1 Time period 1: 時間 Time：星期三1000-1200 地點 Office/Laboratory：CM4067 時段2 Time period 2： 時間 Time：星期四1400-1600 地點 Office/Laboratory：CM4067
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilities of the department and the university
課堂活動與評量方式 Class activities and evaluation
本課程欲培養之能力與素養 This course enables students to achieve.
紙筆考試或測驗 Test.
課堂討論︵含個案討論︶ Group discussion (case analysis).
個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.
群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.
個人口頭報告 Indivisual oral presentation.
群組口頭報告 Group oral presentation.
課程規劃之校外參訪及實習 Off-campus visit and intership.
證照/檢定 License.
參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions.
課外閱讀 Outside reading.
※系所學生專業能力 Basic disciplines and core capabilities of the department
1.溝通能力與團隊合作(Communication ability and team cooperation) 1. Communication ability and team cooperation.
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2.進階管理知識(Advanced knowledge of management) 2. Advanced knowledge of management.
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V
3.倫理觀與社會責任實踐(Ethics and social responsibilities) 3. Ethics and social responsibilities.
4.問題分析與解決能力(Ability of problem analysis and solution) 4. Ability of problem analysis and solution.
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V
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V
5.國際觀與外語能力(Global perspective and foreign language ability) 5. Global perspective and foreign language ability.
※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university
1.表達與溝通能力。 1. Articulation and communication skills
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2.探究與批判思考能力。 2. Inquisitive and critical thinking abilities
V
V
V
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3.終身學習能力。 3. Lifelong learning
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V
V
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4.倫理與社會責任。 4. Ethnics and social responsibility
5.美感品味。 5. Aesthetic appreciation
6.創造力。 6. Creativity
7.全球視野。 7. Global perspective
8.合作與領導能力。 8. Team work and leadership
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature
Internship: The required or elective courses should include credits and learning hours. Students should participate in the corporative company or institution to practice and learn the real skills. An internship certification must be handed in at the end of internship to get the credits or to fulfil the graduation requirements.