Spatial dependence in (origin-destination) air passenger flows

Romain Doucet, Paula Margaretic, Christine Thomas-Agnan and Quentin Villotta

No 14-494, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: We explore the estimation of origin-destination (OD), city-pair, air passengers, in order to explicitly take into account spatial autocorrelation. To our knowledge, we are the first to test the presence of spatial autocorrelation and apply spatial econometric OD flow models to air transport. Drawing on a world sample of 279 cities, over 2010-2012, we find significant evidence of spatial autocorrelation in air passenger flows. Thus, contrary to common practice, we need to incorporate the spatial structure present in the data, when estimating OD air passengers. Importantly, failure to do it, may lead to inefficient estimated coefficients and prediction bias.

Keywords: Spatial autocorrelation; spatial econometric origin-destination flow model; air passenger flows (search for similar items in EconPapers)
Date: 2014-03
New Economics Papers: this item is included in nep-geo, nep-tre and nep-ure
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Spatial dependence in (origin-destination) air passenger flows (2017)
Working Paper: Spatial dependence in (origin-destination) air passenger flows (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:28229

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