G2TT
来源类型Discussion paper
规范类型论文
来源IDDP921
DP921 Unemployment and Increasing Returns to Human Capital
Gilles Saint-Paul
发表日期1994-02-28
出版年1994
语种英语
摘要Typical analyses of trends and cycles take as given some (one) observable economic variable in whose time path a researcher wishes to find trend and cycle movements. But individual sectors and regions in aggregate economies move neither perfectly with nor independently of each other -- why is it useful to study their aggregate? Using a model for non-stationary, dynamically evolving distributions, this paper provides evidence that in the United States, regional movements that preserve their aggregate time path nevertheless have important, predictive comovements with aggregate GNP. Such predictive content cannot be understood in traditional macro models that seek the source for business cycles in aggregate productivity or monetary shocks.
主题International Macroeconomics
关键词Business cycle Distribution dynamics Economic fluctuation Geographical region Growth Large cross-section
URLhttps://cepr.org/publications/dp921
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/530056
推荐引用方式
GB/T 7714
Gilles Saint-Paul. DP921 Unemployment and Increasing Returns to Human Capital. 1994.
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