Monthly Output Index for the U.S. Transportation Sector

Lahiri, Kajal; Stekler, H. O.; Yaw, w; Young, Peg

doi:10.2139/ssrn.345580

Cited by 15 publications

(13 citation statements)

References 10 publications

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“…Fuel efficiency metrics in the transportation industry are based upon several aggregate measures of output. In the aviation industry, the Bureau of Transportation Statistics includes air revenue ton miles and air revenue passenger miles (Lahiri et al, 2003). Internationally, revenue ton kilometers and revenue passenger kilometers are used (Owen, 2008).…”

Section: Fuel Efficiency Indexmentioning

confidence: 99%

Full Issue (22.2, Fall/Winter 2011)

Editors¹

2011

JOTM

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Editorial PolicyFlic primary purpose of the JTM is to publish managerial and policy articles that are relevant to academics, policymakers, and practitioners in the transportation, logistics and supply chain fields. Acceptable articles could include conceptual, theoretical, legal, case, and applied research that contributes to better understanding and management of transportation and logistics. Saying that, our policy requires that articles be of interest to both academics and practitioners, and that they specifically address the managerial or policy implications of the subject matter. Articles that are strictly theoretical in nature, with no direct application to transportation and logistics activities, or to related policy matters, would be inappropriate for the JTM. Articles related to any and all types of organizations, and of local to global scope, will be considered for publication. Acceptable topics for submission include, but are not limited to, broad logistics topics, logistics and transportation related legal issues, carrier management, shipper management of transportation functions, modal and intcrmodal transportation, international transportation issues, transportation safety, marketing of transportation services, transportation operations, domestic and international transportation policy, transportation economics, customer service, and the changing technology of transportation. Articles from related areas, such as third party logistics, purchasing and materials management, and supply chain management, are acceptable as long as they are related to transportation and logistics activities.Submissions from practitioners, attorneys or policymakers, co-authoring with academicians, are particularly encouraged in order to increase the interaction between groups. Authors considering the submission of an article to the JTM are encouraged to contact the editor for help in determining relevance of the topic and material.

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Section: Fuel Efficiency Indexmentioning

confidence: 99%

Full Issue (22.2, Fall/Winter 2011)

Editors¹

2011

JOTM

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“…However, these extra turning points are very short and mild. The extra recession signal in 1995 is associated with a growth cycle recession instead of a full-fledged recession in the transportation sector (Lahiri et al, 2003). The other false signal might be caused by a sector-wide temporary shock, as seen in most transportation indicators.…”

Section: The Predictive Power Of the Constructed Transportation CLImentioning

confidence: 99%

Forecasting Cycles in the Transportation Sector

Yao¹,

Sloboda²

2010

J Transp Res Forum

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“…Second, income is subject to business cycles. Consequently, various transportation measures must also show procyclical behavior, as they are part of the generic aggregate consumption expenditure, cf., Table 2 in Lahiri et al (2003) . Then, any transportation study relying (only) on income data may reach statistically misleading conclusions due to bias caused by cycles.…”

Section: Introductionmentioning

confidence: 99%

The Granger-causality between wealth and transportation: A panel data approach

Yetkiner

Beyzatlar

2020

Transport Policy

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This study examines the causal relationship between wealth and transportation. The study first develops two alternating theoretical frameworks between wealth and transportation: one in which transportation is demand-driven and one in which transportation has dual role, demand-driven and supply-driving. Next, the study undertakes Granger-causality estimations for a panel of 18 countries over the period 1970–2017. It is found that the dominant Granger-causality relationship is bidirectional for majority of countries. The study also shows that there is high consistency in the Granger-causality relationship between wealth and transportation, and income and transportation. The study has three important contributions: First, the relationship between wealth and transportation is shown both theoretically and empirically. Second, transportation is shown to have dual role in an economy. Finally, it is shown that the wealth-transportation relationship and the transport-income relationship are equally robust and consistent.

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Monthly Output Index for the U.S. Transportation Sector

Cited by 15 publications

References 10 publications

Full Issue (22.2, Fall/Winter 2011)

Full Issue (22.2, Fall/Winter 2011)

Forecasting Cycles in the Transportation Sector

The Granger-causality between wealth and transportation: A panel data approach

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