G2TT
来源类型Discussion paper
规范类型论文
来源IDDP4637
DP4637 Measurement Error in Education and Growth Regressions
Coen N. Teulings; Rob Alessie; Miguel Portela
发表日期2004-09-23
出版年2004
语种英语
摘要We propose to use the attractiveness of pooling relatively short time series that display similar dynamics, but without restricting to pooling all into one group. We suggest estimating the appropriate grouping of time series simultaneously along with the group-specific model parameters. We cast estimation into the Bayesian framework and use Markov chain Monte Carlo simulation methods. We discuss model identification and base model selection on marginal likelihoods. A simulation study documents the efficiency gains in estimation and forecasting that are realized when appropriately grouping the time series of a panel. Two economic applications illustrate the usefulness of the method in analysing also extensions to Markov switching within clusters and heterogeneity within clusters, respectively.
主题International Macroeconomics
关键词Panel data Clustering Mixture modelling Markov switching Markov chain monte carlo
URLhttps://cepr.org/publications/dp4637
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/533557
推荐引用方式
GB/T 7714
Coen N. Teulings,Rob Alessie,Miguel Portela. DP4637 Measurement Error in Education and Growth Regressions. 2004.
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