摘要
1987年诺贝尔(Nobel)经济学奖获得者Solow教授,建立了确定性的经济增长模型(1956年).它比较真实地描述了现实世界申的确定性的经济增长状况,然而对不确定性的现象,往往误差较大,甚至失效.本文把Solow模型扩展到随机情形,扩展了Banach压缩映像原理和不动点定理,获得了随机Solow模型主要方程和随机解的一些性质.
Professor Solow, a Nolbelist on Economics in 1987, estabished a determined growth model for economy (1956) descripting truely a deterministic growth state in economy in the reality, but a bigger error may appear or even fail in non - determined phenomenon. This paper extends Banach principle of compression mapping and a fixed point theorem, and obtains some properties of main equation and stochastic solution of the model after expanding a solow model into a stochastic state.
出处
《经济数学》
1995年第1期82-83,87+85-88,共7页
Journal of Quantitative Economics
基金
湖南省科委科技攻关项目