G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15446
DP15446 A hitchhiker guide to empirical macro models
Fabio Canova; Filippo Ferroni
发表日期2020-11-12
出版年2020
语种英语
摘要This paper describes a package which uses MATLAB functions and routines to estimate VARs, local projections and other models with classical or Bayesian methods. The toolbox allows a researcher to conduct inference under various prior assumptions on the parameters, to produce point and density forecasts, and to trace out the causal effect of shocks using a number of identification schemes. The toolbox is equipped to handle missing observations, mixed frequencies and time series with large cross-section information (e.g. panels of VAR and FAVAR). It also contains a number of routines to extract cyclical information and to date business cycles. We describe the methodology employed and implementation of the functions with a number of practical examples.
主题Monetary Economics and Fluctuations
关键词Vars Local projections Bayesian inference Identification forecasts Missing values Filters and cycles Matlab
URLhttps://cepr.org/publications/dp15446
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/544441
推荐引用方式
GB/T 7714
Fabio Canova,Filippo Ferroni. DP15446 A hitchhiker guide to empirical macro models. 2020.
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