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



Exam



Final Exam (6/3)



 



17



Research Proposal



NO Class Meeting



Proposal Preparation



 



18



Research Proposal



NO Class Meeting



Final Report



 



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

AQM Syllabus 113_2.pdf