Market Adjustments over Transportation Networks: A Time Series Analysis of Grain Movements on the Mississippi Inland Waterway System.
Transport occurs over a network and involves a multitude of different origins, destinations, and modes, which complicates the estimation of structural models. However, an understanding of the type and level of market adjustments among key transport statistics is central to analysing the effects of p...
| Publicado en: | Journal of Transport Economics & Policy Vol. 41; no. 2; pp. 149 - 172 |
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| Autores principales: | , |
| Formato: | Artículo |
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Liverpool University Press / Journals
May2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=25480355&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 25480355 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00225258 JTY jtl: Journal of Transport Economics & Policy issn: 00225258 maglogo: N pubinfo: dt: May2007 vid: 41 iid: 2 pid: 1623 pub: Liverpool University Press / Journals artinfo: ui: 25480355 ppf: 149 ppct: 23 formats: tig: atl: Market Adjustments over Transportation Networks: A Time Series Analysis of Grain Movements on the Mississippi Inland Waterway System. aug: au: Thoma, Mark A. Wilson, Wesley W. affil: University of Oregon, Eugene su: Transportation Structural frame models Statistics Markets Waterways United States sug: subj: United States Transportation Structural frame models Statistics Markets Waterways ab: Transport occurs over a network and involves a multitude of different origins, destinations, and modes, which complicates the estimation of structural models. However, an understanding of the type and level of market adjustments among key transport statistics is central to analysing the effects of policy and to forecasting. Time-series techniques are used to characterise the relationship between key transport statistics such as movements on a waterway and shocks to barge rates. Generally, the results suggest that the approach is useful in uncovering complicated relationships over networks and that it is well suited to forecasting. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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