{"title":"新古典货币增长模型的调整时间与最优控制","authors":"Stephen D. Lewis","doi":"10.1002/OCA.4660020305","DOIUrl":null,"url":null,"abstract":"The problem of adjustment time in neoclassical monetary growth models is examined. Comparisons are made with the neoclassical growth model without money. Discretionary monetary and fiscal policies of a ‘bang-bang’ type based upon Pontryagin's minimum principle and the ‘minimum-time’ problem are derived by computer simulation since the models are non-linear and except in trivial cases cannot be solved analytically. The effectiveness of policies in reducing adjustment time between equilibria is explored. These policies provide for increased confidence in the relevance of comparative static predictions derived from the type of models studied.","PeriodicalId":54672,"journal":{"name":"Optimal Control Applications & Methods","volume":"2 1","pages":"251-267"},"PeriodicalIF":2.0000,"publicationDate":"2007-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/OCA.4660020305","citationCount":"1","resultStr":"{\"title\":\"Adjustment time and optimal control of neoclassical monetary growth models\",\"authors\":\"Stephen D. Lewis\",\"doi\":\"10.1002/OCA.4660020305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of adjustment time in neoclassical monetary growth models is examined. Comparisons are made with the neoclassical growth model without money. Discretionary monetary and fiscal policies of a ‘bang-bang’ type based upon Pontryagin's minimum principle and the ‘minimum-time’ problem are derived by computer simulation since the models are non-linear and except in trivial cases cannot be solved analytically. The effectiveness of policies in reducing adjustment time between equilibria is explored. These policies provide for increased confidence in the relevance of comparative static predictions derived from the type of models studied.\",\"PeriodicalId\":54672,\"journal\":{\"name\":\"Optimal Control Applications & Methods\",\"volume\":\"2 1\",\"pages\":\"251-267\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2007-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/OCA.4660020305\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optimal Control Applications & Methods\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1002/OCA.4660020305\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimal Control Applications & Methods","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/OCA.4660020305","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Adjustment time and optimal control of neoclassical monetary growth models
The problem of adjustment time in neoclassical monetary growth models is examined. Comparisons are made with the neoclassical growth model without money. Discretionary monetary and fiscal policies of a ‘bang-bang’ type based upon Pontryagin's minimum principle and the ‘minimum-time’ problem are derived by computer simulation since the models are non-linear and except in trivial cases cannot be solved analytically. The effectiveness of policies in reducing adjustment time between equilibria is explored. These policies provide for increased confidence in the relevance of comparative static predictions derived from the type of models studied.
期刊介绍:
Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.