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基于Learning-by-doing的不确定经济增长与财政政策研究

Stochastic Economic Growth Based on Learning-by-doing and Fiscal Policy Analysis
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摘要 本文研究基于learning-by-doing的随机增长模型,得到了均衡时的经济增长路径、债券回报率、资产组合份额和消费-资本比,分析财政政策对长期经济增长、资产组合选择、个体消费倾向和个体福利的影响,探讨最优的财政政策。 In this paper, a stochastic growth model based on learning-by-doing is studied. The economic growth path, the return rate on bonds, portfolio shares and the consumption-capital ratio in equilibrium are derived and the effects of fiscal policy on the long-run economic growth, portfolio selection, the individual’s propensity to consumption and the individual’s welfare are analyzed. Moreover, the optimal fiscal policy is discussed.
作者 王海军 陈勇
出处 《浙江社会科学》 CSSCI 北大核心 2008年第12期2-6,共5页 Zhejiang Social Sciences
基金 上海市高校优秀青年教师专项基金项目 上海财经大学"211工程"三期重点学科建设项目
关键词 随机增长 财政政策 learning—by—doing 财富补贴 Stochastic Growth, Fiscal Policy, Learning-By-Doing, Wealth Subsidy
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参考文献8

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