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Microeconomics

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Research Frontiers in Matching Markets and Two-Sided Platforms

Investigates stable matching algorithms, platform design, and equilibrium properties in markets with heterogeneous agents on both sides.

Algorithmic Preference Learning in Dynamic Matching
Information Asymmetry Collapse at Platform Scale
Multi-Sided Externalities Beyond Two-Sided Markets
Strategic Misreporting in Incentive-Compatible Mechanisms
Temporal Matching Under Supply-Side Volatility
Network Effects as Barrier to Market Entry
Preference Revelation Without Truthfulness Guarantees
Congestion Pricing in Liquidity-Constrained Platforms
Stability-Efficiency Tradeoffs in Real-Time Matching
Discrimination Detection in Algorithmic Allocation Systems

All Microeconomics PhD categories