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ICES: Small: Collaborative Research: Interaction, Information and Identification

ICES: Small: Collaborative Research: Interaction, Information and Identification
ICES:小型:协作研究:交互、信息和识别
批准号:
1215814
负责人:
Stephen Morris
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2015-08-31

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中文摘要
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英文摘要
Private and widely dispersed information across individuals is pervasive aspect of economic environments. In financial markets, traders possess different information about the value of an asset; In labor markets, employees and employers have different information about the cost of a job. In the interaction of the individual agents, the nature of the private information held by the individuals, influences the outcome of the entire economy. In particular, the structure of the interaction, the form of the network, determines the aggregate outcome. Yet, from the point of view of an observer, be it as an analyst or a regulator or a legislator, the precise nature of the private information and network structure of the agents is rarely known. The current research develops a method to analyze the behavior and the welfare in an economic environment, online as well as offline, independent of the structure of the private information and network structure of the agents. Concurrently, the PIs analyze the extent to which the structure of the economic environments (payoffs, preferences) can be identified from the empirical data without knowledge of the exact information and network structure. The methods have epistemic and computational advantages over earlier approaches. The PIs identify bounds on the statistical moments of the equilibrium distribution. Conversely, the statistical description of the equilibrium outcome allows the PIs to give precise bounds on how much can be learned from the data when the nature of the private information is unknown. This new approach to networks with private information offers techniques to analyze the welfare implications of economic rules and institutions by providing bounds that are independent of the knowledge of the information and network structure. The method allows the PIs to assess the implication of different policies and regulations regarding information disclosure, trading restrictions, reserve requirements, that are independent of the specific information held by the economic agents.
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