SemesterSpring Semester, 2025
DepartmentPhD Program of Business Administration, First Year
Course NameAdvanced Quantitative Methods
InstructorCHUANG HAO-CHUN
Credit3.0
Course TypeRequired
PrerequisiteDeciding、Decision Science、Decision Scienle
Course Objective
Course Description
Course Schedule
























































































































週次



課程主題



課程內容與指定閱讀



教學活動與作業



1



Introduction



Introduction to Advanced Quantitative Models: Economic Models and Empirical Methods



 



2



Economic Models (I)



Models for Monopoly



 



3



Economic Models (II)



Models for Competition



 



4



Economic Models (III)



Game Theory: Models with Interactions



 



5



Economic Models (IV)



Contract Theory: Models with Incentive Designs



 



6



Economic Models (V)



Application on Economics Information Systems: Platforms and Auction



 



7



Spring Break



No Class Meeting (4/1)



Self-Study Material



8



Empirical Methods (I)



Linear Regression & Endogeneity



Unbiasedness & Consistency



9



Empirical Methods (II)



Parameter Estimation



Convex Optimization



10



Empirical Methods (III)



Instrument Variable Regression



2SLS & Instrument Free



U-Shape Association



11



Empirical Methods (IV)



Panel Data Models



Fixed & Random Effects



12



Empirical Methods (V)



Multi-Level Models



Panel Data Modeling with Decision Optimization



13



Empirical Methods (VI)



Causal Inference with Data



Difference-in-Difference



Sample Selection



14



Empirical Methods (VII)



Supervised Machine Learning



Predictive Modeling



Theory Building



15



Empirical Methods (VIII)



Structural Modeling



Dynamic Modeling



Structure Formulation



16



Research Proposal



NO Class Meeting



Proposal Preparation



 



17



Research Proposal



NO Class Meeting



Final Report



 



18


Exam Final Exam

 



Teaching Methods
Teaching Assistant

TBA


Requirement/Grading

Final project presentation: 20%



Final proposal: 20%



Economic Models (Lee): 30% (15% paper presentation + 5% discussion +10% class participation)



Econometrics & Machine Learning (Chuang): 30% (15% presentation & discussion + 15% homework assignments)


Textbook & Reference

References (Economic Models):




  • Tirole, J. (1988). The Theory of Industrial Organization. MIT Press.

  • Bolton, P., & Dewatripont, M. (2005). Contract theory. MIT press.

  • Mantena, R., & Saha, R. L. (2012). Co-opetition between differentiated platforms in two-sided markets. Journal of Management Information Systems, 29(2), 109-140.

  • Qiu, L., Rui, H., & Whinston, A. (2019). Optimal Auction Design for Wi-Fi Procurement. Information Systems Research, 30(1), 1-14.

  • Lin, M., Pan, X. A., & Zheng, Q. (2020). Platform Pricing with Strategic Buyers: The Impact of Future Production Cost. Production and Operations Management, 29(5), 1122-1144.



References (Econometrics & Machine Learning):



Will be selected and distributed.


Urls about Course
https://moodle.nccu.edu.tw/
Attachment