{"id":{"repo_id":"gmu","oai_identifier":"oai:MARS:1920/11234"},"canonical_url":"https://search.dev.ndltd.org/etd/gmu/oai:MARS:1920/11234","repository":{"repo_id":"gmu","name":"George Mason University","base_url":"https://mars.gmu.edu/server/oai/request"},"display":{"title":"Patients, Premiums, and Public Policy: Modeling Health Insurance Markets using Agent Computing","abstract":"This dissertation focuses on the assessment of adverse selection as a result of uncertainty and asymmetric information in a market of buyers and sellers. This dissertation seeks to provide two novel contributions to science – the development of a true-scale (one agent to one household) agent-based model of the individual health insurance market at the state level, and the assessment of the impacts of various policy implementations on the individual health insurance market. 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