{"title":"动态关注不规范","authors":"Giacomo Lanzani","doi":"10.1145/3580507.3597804","DOIUrl":null,"url":null,"abstract":"We consider an agent that repeatedly chooses among actions whose payoffs have an unknown distribution. This choice is taken using an average of robust control assessments, where each assessment takes a different structured model as the benchmark. We introduce endogeneity in the misspecification concern: the better the structured models explain the past, the less concerned the agent is.","PeriodicalId":210555,"journal":{"name":"Proceedings of the 24th ACM Conference on Economics and Computation","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Concern for Misspecification\",\"authors\":\"Giacomo Lanzani\",\"doi\":\"10.1145/3580507.3597804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider an agent that repeatedly chooses among actions whose payoffs have an unknown distribution. This choice is taken using an average of robust control assessments, where each assessment takes a different structured model as the benchmark. We introduce endogeneity in the misspecification concern: the better the structured models explain the past, the less concerned the agent is.\",\"PeriodicalId\":210555,\"journal\":{\"name\":\"Proceedings of the 24th ACM Conference on Economics and Computation\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 24th ACM Conference on Economics and Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3580507.3597804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th ACM Conference on Economics and Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3580507.3597804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We consider an agent that repeatedly chooses among actions whose payoffs have an unknown distribution. This choice is taken using an average of robust control assessments, where each assessment takes a different structured model as the benchmark. We introduce endogeneity in the misspecification concern: the better the structured models explain the past, the less concerned the agent is.
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