G2TT
来源类型Discussion paper
规范类型论文
来源IDDP7462
DP7462 The Fundamental Law of Road Congestion: Evidence from US cities
Gilles Gilles Duranton; Matthew Turner
发表日期2009-09-20
出版年2009
语种英语
摘要A canonical model is described which reflects the real-time informational context of decision-making. Comparisons are drawn with ?conventional? models that incorrectly omit market-informed insights on future macroeconomic conditions and inappropriately incorporate information that was not available at the time. It is argued that conventional models are misspecified and misinterpret news but that these deficiencies will not be exposed either by diagnostic tests applied to the conventional models or by typical impulse response analyses. This is demonstrated through an analysis of quarterly US data 1968q4-2008q4. However, estimated real-time models considerably improve out-ofsample forecasting performance, provide more accurate ?nowcasts? of the current state of the macroeconomy and provide more timely indicators of the business cycle. The point is illustrated through an analysis of the US recessions of 1990q3-1991q2 and 2001q1-2001q4 and the most recent experiences of 2008.
主题International Macroeconomics
关键词Structural modelling Real-time data Nowcasting Business cycles
URLhttps://cepr.org/publications/dp7462
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/536282
推荐引用方式
GB/T 7714
Gilles Gilles Duranton,Matthew Turner. DP7462 The Fundamental Law of Road Congestion: Evidence from US cities. 2009.
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