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Päämies-agenttimalli×VCG-mekanismi×
TieteenalaPeliteoriaPeliteoria
MenetelmäperheMachine learningMachine learning
Syntyvuosi19761961
KehittäjäMichael Jensen, William Meckling, Bengt HolmstromWilliam Vickrey, Edward Clarke, Theodore Groves
Tyyppialgorithmalgorithm
AlkuperäislähdeJensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360. DOI ↗Vickrey, W. (1961). Counterspeculation, auctions, and competitive sealed bids. The Journal of Finance, 16(1), 8-37. DOI ↗
RinnakkaisnimetAgency Theory, Hidden Action Problem, Moral HazardVickrey Mechanism, Generalized Vickrey Auction, Truthful Mechanism
Liittyvät44
TiivistelmäThe Principal-Agent Model analyzes how a principal (e.g., owner, employer, policymaker) can incentivize an agent (e.g., manager, employee, firm) to act in the principal's interest when the agent has private information or can take hidden actions. Formalized by Jensen and Meckling in 1976, the model identifies agency costs arising from moral hazard (the agent exerts less effort than desired) and adverse selection (the agent hides unfavorable information). Optimal contracts balance incentives with risk allocation.The Vickrey-Clarke-Groves (VCG) Mechanism is a truthful mechanism design solution that allocates resources and determines payments to incentivize participants to reveal their true valuations. Building on William Vickrey's 1961 sealed-bid auction work and extended by Clarke and Groves, VCG ensures that reporting truth is a dominant strategy for all participants, achieving allocative efficiency while maximizing total surplus.
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ScholarGateVertaile menetelmiä: Principal-Agent Model · VCG Mechanism. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare