Market Design
Study Board of Market and Management Anthropology, Economics, Mathematics-Economics, Environmental and Resource Management
Teaching language: English
EKA: B540037102
Censorship: Second examiner: None
Grading: 7-point grading scale
Offered in: Odense
Offered in: Summer school (autumn)
Level: Bachelor
Course ID: B540037101
ECTS value: 5
Date of Approval: 28-04-2020
Duration: Intensive course
Course ID
Course Title
Teaching language
ECTS value
Responsible study board
Study Board of Market and Management Anthropology, Economics, Mathematics-Economics, Environmental and Resource Management
Date of Approval
Course Responsible
Offered in
Level
Offered in
Duration
Recommended prerequisites
Aim and purpose
The assignment of students to public schools in Boston; The matching of all doctors in the United States to their first job after education; The transplantation of organs in the United States and Scandinavia: All of these social systems have been and continue to be revolutionized by the discipline of Market Design. Unlike traditional Economic thought, which largely confines itself to the application of taxes and subsidies, Market Design reconsiders social arrangements from the bottom-up, building institutions that sometimes resemble the classical "free-market" but at other times are completely different. We apply the mindset of an engineer, and optimization tools that engineers might recognize, to solve social problems and make people's lives better. The source of these problems is often the opposed interests of the various stakeholders, and the strategic considerations that this implies for them. Thus, we must also use methods from Game Theory. In sum, Market Design synthesizes ideas from various disciplines, with various intellectual heritages, to tailor a solution to a given social problem, not being beholden to orthodoxy, nor forgetting the fundamental economic insights of the last century.
This course will give students an overview of the recent contributions of Market Design and the techniques behind them. Students will find they do not need to be experts to apply these techniques to their careers. Many of the solutions are surprisingly simple. Moreover, their application is not limited to large-scale, high visibility cases; normal companies and even small teams may benefit as well.
Content
The classes of models to be analyzed are:
- One-to-one matching of discrete agents to discrete units or other agents.
- One-to-many matching of discrete agents to discrete units or other agents.
- Matching of the above kind with finitely many available match types.
- Assignment of discrete agents to objects when the objects are owned by other agents.
- One-to-one (bilateral trade) or one-to-many (auctions) matching of an indivisible object to discrete agents in the presence of transfers and probabilistic information structures about the preferences of agents.
Description of outcome - Knowledge
The student should be able to:
- Explain the relationship between Game Theory and Market Design.
- Define a social choice rule and its role in economic theory.
- Explain the definition of and the use of the concept of the game form.
- Describe some applications of each model in the real world.
- Describe matching theory and its application to school assignment, labor markets, and organ transplantation.
- Describe auction theory and its applications to trade.
- Describe the major general results of the theory and their implications.
The “Rural Hospitals” Theorem.
The lattice structure of the core.
Revenue equivalence principle.
Revelation principle.
Description of outcome - Skills
The student should be able to:
- Find a stable matching in a two-sided, one to one market.
- Find a core allocation of indivisible goods to agents with unit-demand.
- Find the core of a matching market when there are multiple terms of trade.
- Find an extremal stable matching in a two-sided, one-to-many market.
- Demonstrate the manipulability of core-extremal matching rules by one side of the market.
- Calculate the optimal bidding strategies in common auction forms.
- Calculate the top-trading-cycles algorithm, and its generalization when there are waiting lists.
- Calculate Myerson’s optimal mechanism for auctions with independent private values.
- Calculate Vickrey-Clarke-Groves payment schemes for auction problems
Description of outcome - Competences
The student should be able to:
- Independently suggest the application of one of the models taught in class when confronted with a relevant real-world problem.
- Identify the weaknesses of the various algorithms taught. In particular, compare and contrast deferred acceptance with top-trading-cycles.
- Identify novel applications of the theory, along with any deficits in the theory preventing it from being immediately applied here.
Literature
Preparatory:
- Roth, Alvin. 2015. Who Gets What–and Why : The New Economics of Matchmaking and Market Design. Boston: Houghton Mifflin Harcourt.
- Hart, Sergiu. 1992. “Games in Extensive and Strategic Forms.” Handbook of Game Theory with Economic Applications 1: 19–40.
- Moulin, Hervé. 1994. “Social Choice.” Handbook of Game Theory with Economic Applications 2: 1091–1125.
- Thomson, William. 2001. “On the Axiomatic Method and Its Recent Applications to Game Theory and Resource Allocation.” Social Choice and Welfare 18 (2): 327–86. https://doi.org/10.1007/s003550100106.
- ———. 2002. “The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics.” Econometrica 70 (4): 1341–78. https://doi.org/10.1111/1468-0262.00335.
- Roth, Alvin E., and Marilda Sotomayor. 1992. “Two-Sided Matching.” Handbook of Game Theory with Economic Applications 1: 485–541.
- Sönmez, Tayfun, and M. Utku Ünver. 2011. “Matching, Allocation, and Exchange of Discrete Resources.” In Handbook of Social Economics, 1:781–852. Elsevier.
- Milgrom, Paul. Putting auction theory to work. Cambridge University Press, 2004. Chapters 1 through 3.
Further Reading Examples:
- Abdulkadiroğlu, Atila, and Tayfun Sönmez. 2003. “School Choice: A Mechanism Design Approach.” The American Economic Review 93 (3): 729–47.
- Alcalde, José, and Salvador Barberà. 1994. “Top Dominance and the Possibility of Strategy-Proof Stable Solutions to Matching Problems.” Economic Theory 4 (3): 417–35. https://doi.org/10.1007/BF01215380.
- Baïou, Mourad, and Michel Balinski. 2007. “Characterizations of the Optimal Stable Allocation Mechanism.” Operations Research Letters 35 (3): 392–402. https://doi.org/10.1016/j.orl.2006.06.004.
- Becker, Gary S., and Julio Jorge Elias. 2007. “Introducing Incentives in the Market for Live and Cadaveric Organ Donations.” The Journal of Economic Perspectives 21 (3): 3–24.
- Demange, Gabrielle, David Gale, and Marilda Sotomayor. 1986. “Multi-Item Auctions.” Journal of Political Economy 94 (4): 863–72.
- Gul, Faruk, and Ennio Stacchetti. 1999. “Walrasian Equilibrium with Gross Substitutes.” Journal of Economic Theory 87 (1): 95–124. https://doi.org/10.1006/jeth.1999.2531.
- ———. 2000. “The English Auction with Differentiated Commodities.” Journal of Economic Theory 92 (1): 66–95. https://doi.org/10.1006/jeth.1999.2580.
- Kara, Tarik, and Tayfun Sönmez. 1996. “Nash Implementation of Matching Rules.” Journal of Economic Theory 68 (2): 425–39. https://doi.org/10.1006/jeth.1996.0024.
- Krishna, Vijay. 2010. Auction Theory. Burlington, MA: Academic Press/Elsevier. (Selections only)
- Roth, Alvin E. 1982. “The Economics of Matching: Stability and Incentives.” Mathematics of Operations Research 7 (4): 617–28. https://doi.org/10.1287/moor.7.4.617.
- Roth, Alvin E. 1982. “Incentive Compatibility in a Market with Indivisible Goods.” Economics Letters 9 (2): 127–32. https://doi.org/10.1016/0165-1765(82)90003-9.
- Shapley, Lloyd, and Herbert Scarf. 1974. “On Cores and Indivisibility.” Journal of Mathematical Economics 1 (1): 23–37. https://doi.org/10.1016/0304-4068(74)90033-0.
- Sönmez, Tayfun. 1994. “Strategy-Proofness in Many-to-One Matching Problems.” Economic Design 1 (1): 365–80. https://doi.org/10.1007/BF02716633.
- Tarik, and Tayfun Sönmez. 1996. “Nash Implementation of Matching Rules.” Journal of Economic Theory 68 (2): 425–39. https://doi.org/10.1006/jeth.1996.0024.
Additional material is to be assigned during the course, e.g. articles from scientific journals, working papers, and reports. All of these will be accessible via the library.
Teaching Method
The students prepare for the course by studying the material in the literature section called “preparatory.” It is recommended that the student study the material in the order it is listed above. Class then meets for two weeks, wherein the instructor expands upon the reading and demonstrates exercises. In the week after classes finish, students have a take-home exam.
Workload
Scheduled classes:
10 class meetings, one per day, over two weeks. Each meeting for three hours.
Workload:
The students' workload is expected to be distributed as follows:
Preparatory study: 45 hours
Lecture: 30 hours
Daily study after class meetings: 30 hours
Take home exam, preparation and execution: 30 hours
Total time: 135 hours
Examination regulations
Exam
Name
Exam
Timing
Exam: August
Reexam:September
Tests
Exam
Name
Exam
Form of examination
Take-home assignment
Censorship
Second examiner: None
Grading
7-point grading scale
Identification
Student Identification Card - Exam number
Language
English
Duration
One week
Examination aids
All exam aids are allowed.
Assignment handover
Digital exam
Assignment handin
Digital exam
ECTS value
5
Additional information
The take-home exam tests to what extent the student meets the learning goals by random check.
Reexam: Same format as regular exam.
EKA
B540037102
External comment
NOTE - This course is new.
Used examination attempts in the former identical course will be transferred.
Courses that are identical with former courses that are passed according to applied rules cannot be retaken.