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来源类型Article
规范类型其他
DOI10.1007/BF01213847
Complex solutions of nonconcave dynamic optimization models.
Dawid H; Kopel M; Feichtinger G
发表日期1997
出处Economic Theory 9 (3): 427-439
出版年1997
语种英语
摘要In this paper we consider a class of time discrete intertemporal optimization models in one dimension. We present a technique to construct intertemporal optimization models with nonconcave objective functions, such that the optimal policy function coincides with any pre-specified C^2 function. Our result is a variant of the approach presented in a seminal paper by Boldrin and Montrucchio (1986). Whereas they solved the inverse problem for the reduced form models, we address the different question of how to construct both reduced and primitive form models. Using our technique one can guarantee required qualitative properties not only in reduced, but also in primitive form. The fact that our constructed model has a single valued and continuous optimal policy is very important as, in general, nonconcave problems yield set valued optimal policy correspondences which are typically hard to analyze. To illustrate our constructive approach we apply it to a simple nonconcave model.
主题World Population (POP)
URLhttp://pure.iiasa.ac.at/id/eprint/5059/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127598
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GB/T 7714
Dawid H,Kopel M,Feichtinger G. Complex solutions of nonconcave dynamic optimization models.. 1997.
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