G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12262
DP12262 Tractable Likelihood-Based Estimation of Non-Linear DSGE Models
Robert Kollmann
发表日期2017-08-31
出版年2017
语种英语
摘要This paper presents a simple and fast maximum likelihood estimation method for non-linear DSGE models that are solved using a second- (or higher-) order accurate approximation. The method requires that the number of observables equals the number of exogenous shocks. Exogenous innovations are extracted recursively by inverting the observation equation, which allows easy computation of the likelihood function.
主题International Macroeconomics and Finance
关键词Estimation of non-linear dsge models Observation equation inversion
URLhttps://cepr.org/publications/dp12262
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/541073
推荐引用方式
GB/T 7714
Robert Kollmann. DP12262 Tractable Likelihood-Based Estimation of Non-Linear DSGE Models. 2017.
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