G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13071
DP13071 Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods
Christian Bayer; Ralph Luetticke
发表日期2018-07-24
出版年2018
语种英语
摘要This paper describes a method for solving heterogeneous agent models with aggregate risk and many idiosyncratic states formulated in discrete time. It extends the method proposed by Reiter (2009) and complements recent work by Ahn et al. (2017) on how to solve such models in continuous time. We suggest first solving for the stationary equilibrium of the model without aggregate risk. We then write the functionals that describe the dynamic equilibrium as sparse expansions around their stationary equilibrium counterparts. Finally we use the perturbation method of Schmitt-Grohé and Uribe (2004) to approximate the aggregate dynamics of the model.
主题Monetary Economics and Fluctuations
关键词Numerical methods Heterogeneous agent models Linearization Incomplete markets
URLhttps://cepr.org/publications/dp13071-0
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/541876
推荐引用方式
GB/T 7714
Christian Bayer,Ralph Luetticke. DP13071 Solving heterogeneous agent models in discrete time with many idiosyncratic states by perturbation methods. 2018.
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