G2TT
来源类型Discussion paper
规范类型论文
来源IDDP7455
DP7455 Offshoring, Firm Performance and Establishment-Level Employment: Identifying Productivity and Downsizing Effects
Dieter M Urban; Beatrice Weder di Mauro; Christoph Moser
发表日期2009-09-23
出版年2009
语种英语
摘要Sign restrictions on the responses generated by structural vector autoregressive models have been proposed as an alternative approach to the use of exclusion restrictions on the impact multiplier matrix. In recent years such models have been increasingly used to identify demand and supply shocks in the market for crude oil. We demonstrate that sign restrictions alone are insufficient to infer the responses of the real price of oil to such shocks. Moreover, the conventional assumption that all admissible models are equally likely is routinely violated in oil market models, calling into question the use of median responses to characterize the responses to structural shocks. When combining sign restrictions with additional empirically plausible bounds on the magnitude of the short-run oil supply elasticity and on the impact response of real activity, however, it is possible to reduce the set of admissible model solutions to a small number of qualitatively similar estimates. The resulting model estimates are broadly consistent with earlier results regarding the relative importance of demand and supply shocks for the real price of oil based on structural VAR models identified by exclusion restrictions, but imply very different dynamics from the median responses in VAR models based on sign restrictions only.
主题International Macroeconomics
关键词Demand shocks Identification Median response Oil market Sign restriction Supply shocks Vector autoregression
URLhttps://cepr.org/publications/dp7455
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/536306
推荐引用方式
GB/T 7714
Dieter M Urban,Beatrice Weder di Mauro,Christoph Moser. DP7455 Offshoring, Firm Performance and Establishment-Level Employment: Identifying Productivity and Downsizing Effects. 2009.
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