全球智库信息集成服务系统(G2TT): DP7446 Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP7446
	DP7446 Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models
	Massimiliano Marcellino; George Kapetanios; Andrea Carriero
发表日期	2009-09-23
出版年	2009
语种	英语
摘要	We investigate the relationship between interstate highways and highway vehicle kilometers traveled (vkt) in US cities. We find that vkt increases proportionately to highways and identify three important sources for this extra vkt: an increase in driving by current residents; an increase in transportation intensive production activity; and an inflow of new residents. The provision of public transportation has no impact on vkt. We also estimate the aggregate city level demand for vkt and find it to be very elastic. We conclude that an increased provision of roads or public transit is unlikely to relieve congestion and that the current provision of roads exceeds the optimum given the absence of congestion pricing.
主题	International Trade and Regional Economics
关键词	Congestion Highways Public transport Vehicle-kilometers traveled
URL	https://cepr.org/publications/dp7446
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/536297
推荐引用方式 GB/T 7714	Massimiliano Marcellino,George Kapetanios,Andrea Carriero. DP7446 Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models. 2009.