G2TT
来源类型Discussion paper
规范类型论文
来源IDDP8050
DP8050 MODELLING TIME AND MACROECONOMIC DYNAMICS
Chryssi Giannitsarou; Alexis Anagnostopoulos
发表日期2010-10-23
出版年2010
语种英语
摘要In this paper, we analyze the importance of the frequency of decision making for macroeconomic dynamics. We explain how the frequency of decision making (period length) and the unit of time measurement (calibration frequency) differ and study the implications of this difference for macroeconomic modelling. We construct a generic dynamic general equilibrium model that nests a wide range of macroeconomic models and which leaves the period length as an undetermined parameter. We provide a series of examples (variations of the Cass-Koopmans and the New Keynesian models) that fit into this framework and use these to do comparative dynamics with respect to the period length. In particular, we analyze local stability and how this is affected by changes in the period length. We find that in models with endogenous capital accumulation, as the period gets longer, indeterminacy occurs less often. Moreover, as economic agents become less patient and as capital depreciates more, indeterminacy also occurs less often. We also show that, in the case of the New Keynesian model, standard continuous and discrete time versions have entirely different local stability properties due to a discontinuity at zero period length.
主题International Macroeconomics
关键词Depreciation Discounting Local indeterminacy Macroeconomic dynamics Period length
URLhttps://cepr.org/publications/dp8050
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/536900
推荐引用方式
GB/T 7714
Chryssi Giannitsarou,Alexis Anagnostopoulos. DP8050 MODELLING TIME AND MACROECONOMIC DYNAMICS. 2010.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chryssi Giannitsarou]的文章
[Alexis Anagnostopoulos]的文章
百度学术
百度学术中相似的文章
[Chryssi Giannitsarou]的文章
[Alexis Anagnostopoulos]的文章
必应学术
必应学术中相似的文章
[Chryssi Giannitsarou]的文章
[Alexis Anagnostopoulos]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。