{"title":"循环变量和无限水平结构动力模型","authors":"Avery M. Haviv","doi":"10.2139/ssrn.2610940","DOIUrl":null,"url":null,"abstract":"In this paper, I develop Cyclic Value Function Iteration (CVFI), which is an adjustment to the value function iteration. When using this algorithm, the inclusion of cyclic variables of any size into the state space of an infinite horizon dynamic structural model does not increase the computational complexity of solving for the value function. This result is proven theoretically, and shown to closely hold in practice using Monte Carlo simulations.","PeriodicalId":222025,"journal":{"name":"Simon Business School Working Papers","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cyclic Variables and Infinite Horizon Structural Dynamic Models\",\"authors\":\"Avery M. Haviv\",\"doi\":\"10.2139/ssrn.2610940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, I develop Cyclic Value Function Iteration (CVFI), which is an adjustment to the value function iteration. When using this algorithm, the inclusion of cyclic variables of any size into the state space of an infinite horizon dynamic structural model does not increase the computational complexity of solving for the value function. This result is proven theoretically, and shown to closely hold in practice using Monte Carlo simulations.\",\"PeriodicalId\":222025,\"journal\":{\"name\":\"Simon Business School Working Papers\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Simon Business School Working Papers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2610940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simon Business School Working Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2610940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cyclic Variables and Infinite Horizon Structural Dynamic Models
In this paper, I develop Cyclic Value Function Iteration (CVFI), which is an adjustment to the value function iteration. When using this algorithm, the inclusion of cyclic variables of any size into the state space of an infinite horizon dynamic structural model does not increase the computational complexity of solving for the value function. This result is proven theoretically, and shown to closely hold in practice using Monte Carlo simulations.