{"title":"非线性随机模型的线性二次解方法:注","authors":"M. Roche","doi":"10.1111/1467-9957.00092","DOIUrl":null,"url":null,"abstract":"Linear-quadratic solution methods to nonlinear stochastic rational-expectations models are described and compared. A closed economy real business cycle model is used as an illustration. The author's results show that all methods yield identical coefficients in the optimal decision rules. However, when solving other models some methods require only a few modifications to existing computer programs. Copyright 1998 by Blackwell Publishers Ltd and The Victoria University of Manchester","PeriodicalId":83172,"journal":{"name":"The Manchester school of economic and social studies","volume":"144 1","pages":"118-127"},"PeriodicalIF":0.0000,"publicationDate":"1998-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linear-Quadratic Solution Methods to Non-linear Stochastic Models: A Note\",\"authors\":\"M. Roche\",\"doi\":\"10.1111/1467-9957.00092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linear-quadratic solution methods to nonlinear stochastic rational-expectations models are described and compared. A closed economy real business cycle model is used as an illustration. The author's results show that all methods yield identical coefficients in the optimal decision rules. However, when solving other models some methods require only a few modifications to existing computer programs. Copyright 1998 by Blackwell Publishers Ltd and The Victoria University of Manchester\",\"PeriodicalId\":83172,\"journal\":{\"name\":\"The Manchester school of economic and social studies\",\"volume\":\"144 1\",\"pages\":\"118-127\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Manchester school of economic and social studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/1467-9957.00092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Manchester school of economic and social studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/1467-9957.00092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear-Quadratic Solution Methods to Non-linear Stochastic Models: A Note
Linear-quadratic solution methods to nonlinear stochastic rational-expectations models are described and compared. A closed economy real business cycle model is used as an illustration. The author's results show that all methods yield identical coefficients in the optimal decision rules. However, when solving other models some methods require only a few modifications to existing computer programs. Copyright 1998 by Blackwell Publishers Ltd and The Victoria University of Manchester