IM 7011, Spring 2018 (106-2)

Information Economics

Instructor: Ling-Chieh Kung

Department of Information Management

National Taiwan University


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About this Course

In the field of Information Economics (or Economics of Information), people use economic tools to study the value and impact of information. Information is not only important in the information industry; it has critical impacts in almost all business activities. In this course, we will study how to apply economic modeling to rigorously analyze information-related issues, especially information asymmetry. Applications that we will study lie in marketing, supply chain management, information systems, among others. Students will be required to read textbooks as well as some academic papers. This is a course teaching students how to do academic research with a specific research method. To comfortably take this course, one is suggested to have adequate background in calculus, nonlinear optimization, game theory, and probability.

This is an elective course offered in the Department of Information Management in National Taiwan University. The target "customers" of this course are graduate and senior students, though junior students may still enroll in this course. In most cases, all students who want to enroll in or audit this course are welcome. This course is taught in Chinese.

The first five lectures are in the MOOC on coursera (free registration is needed).

Basic information

Instructor
  • Ling-Chieh Kung (孔令傑)
  • E-mail: lckung(AT)ntu.edu.tw
  • Office: Room 413, Management Building II
  • Tel: 02-3366-1176.
  • Office hour: by appointments.
Teaching Assistants
  • 陳昀靖: r06725004(AT)ntu.edu.tw.
Lectures
  • 9:10-12:10pm, Friday.
  • Room 102, Management Building II.
Prerequisites
  • Students need to know the basic ideas of calculus, optimization, and probability.
  • Some knowledge about game theory will be helpful.
References
  • Information Rules by C. Shapiro and H. Varian.
  • Freakonomics S. Levitt and S. Dubner.
  • Contract Theory by P. Bolton and M. Dewatripont.
  • Game Theory for Applied Economists by R. Gibbons.
On-line resources
  • To check grades: CEIBA.
  • To download or link to materials: This website.
  • To discuss: Piazza. .

Syllabus

For a detailed description about this course, including course policies, grading rules, tentative schedules, etc., please see the syllabus. Whenever there is an update, a new version will be posted with a short note describing the update.

Post Syllabus Notes
2018/1/7 Link The initial plan
2018/3/2 Link The plan at the beginning of this semester

Lecture materials

Week Topic Problems Slides and Videos
Part 1: Incentives
All lecture videos and slides for Part 1 are at Coursera: Game-theoretic analysis for Business Research (1)
1 Review of optimization N/A Week 1 of the Coursera course
2 Review of game theory Pre-lecture; lecture Week 2 of the Coursera course
3 Channel selection under competition Pre-lecture; lecture Week 3 of the Coursera course
4 Channel coordination with returns Pre-lecture; lecture Week 4 of the Coursera course
5 In-store referrals and sharing economy Pre-lecture; lecture Weeks 5 and 6 of the Coursera course
6 No class: National holiday N/A N/A
7 Case study 1 Problem Sets 1 and 2 N/A
8 Workshop on Information Economics
Part 2: Information
All lecture videos and slides for Part 2 will be at Coursera: Game-theoretic analysis for Business Research (2)
9 The screening theory Pre-lecture; lecture Slides; playlist
10 Cascade Adverse Selection and Partial Monitoring Pre-lecture; lecture Slides; playlist
11 The signaling theory Pre-lecture; lecture Slides; playlist
12 Revenue sharing for medical treatment Pre-lecture; lecture Slides; playlist
13 Case study 2 Problem Set 3 N/A
Part 3: Final Project
14 Project discussions N/A N/A
15 Review and preview N/A N/A
16 Final project presentations (1) N/A N/A
17 Final project presentations (2) N/A N/A
18 No class: Thanks to flipped classroom N/A N/A

Problem Sets

Paper Summaries and Case Studies

Item Description
Paper Summary 1 What one should do in Paper Summary 1
Case Study 1 What one should do in Case Study 1
Paper Summary 2 What one should do in Paper Summary 2
Case Study 2 What one should do in Case Study 2
LaTeX template A LaTeX template
Formatting Suggestions for formatting your reports

Projects

Item Description
Final project What one should do in the final project
LaTeX template A LaTeX template
Format suggestions My suggestions for formatting your reports