An Econometric Dynamic Model to estimate passenger demand for air transport industry

Rafael Bernardo Carmona-Benítez; Maria Rosa Nieto; Danya Miranda

doi:10.1016/j.trpro.2017.05.191

An Econometric Dynamic Model to estimate passenger demand for air transport industry

Rafael Bernardo Carmona-Benítez, Maria Rosa Nieto, Danya Miranda

Anahuac Mexico Universtiy

Universidad Anáhuac

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

In this paper, we propose an Econometric Dynamic Model (EDM) to estimate pax demand. We apply the panel data Arellano-Bover method to calibrate the EDM, which is validated by the Sargan test and the Arellano-Bond Autocorrelation test. We propose a forecasting approach using the EDM to foresee pax demand. Finally, we show an application of the EDM by proposing an approach to solve the Airline Airport Hub (AAH) location problem. The case study is about the Mexican air transport industry, AAHs are identified for each predicted year.

Original language	English
Pages (from-to)	17-29
Number of pages	13
Journal	Transportation Research Procedia
Volume	25
DOIs	https://doi.org/10.1016/j.trpro.2017.05.191
State	Published - 1 Jan 2017

Keywords

air transportation
Arellano-Bover
dynamic model
econometric model
hub location problem
time series methods

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10.1016/j.trpro.2017.05.191

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title = "An Econometric Dynamic Model to estimate passenger demand for air transport industry",

abstract = "In this paper, we propose an Econometric Dynamic Model (EDM) to estimate pax demand. We apply the panel data Arellano-Bover method to calibrate the EDM, which is validated by the Sargan test and the Arellano-Bond Autocorrelation test. We propose a forecasting approach using the EDM to foresee pax demand. Finally, we show an application of the EDM by proposing an approach to solve the Airline Airport Hub (AAH) location problem. The case study is about the Mexican air transport industry, AAHs are identified for each predicted year.",

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note = "Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Elsevier B.V.",

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T1 - An Econometric Dynamic Model to estimate passenger demand for air transport industry

AU - Carmona-Benítez, Rafael Bernardo

AU - Nieto, Maria Rosa

AU - Miranda, Danya

PY - 2017/1/1

Y1 - 2017/1/1

N2 - In this paper, we propose an Econometric Dynamic Model (EDM) to estimate pax demand. We apply the panel data Arellano-Bover method to calibrate the EDM, which is validated by the Sargan test and the Arellano-Bond Autocorrelation test. We propose a forecasting approach using the EDM to foresee pax demand. Finally, we show an application of the EDM by proposing an approach to solve the Airline Airport Hub (AAH) location problem. The case study is about the Mexican air transport industry, AAHs are identified for each predicted year.

AB - In this paper, we propose an Econometric Dynamic Model (EDM) to estimate pax demand. We apply the panel data Arellano-Bover method to calibrate the EDM, which is validated by the Sargan test and the Arellano-Bond Autocorrelation test. We propose a forecasting approach using the EDM to foresee pax demand. Finally, we show an application of the EDM by proposing an approach to solve the Airline Airport Hub (AAH) location problem. The case study is about the Mexican air transport industry, AAHs are identified for each predicted year.

KW - air transportation

KW - Arellano-Bover

KW - dynamic model

KW - econometric model

KW - hub location problem

KW - time series methods

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DO - 10.1016/j.trpro.2017.05.191

M3 - Artículo

AN - SCOPUS:85020312771

SN - 2352-1457

VL - 25

SP - 17

EP - 29

JO - Transportation Research Procedia

JF - Transportation Research Procedia

ER -

An Econometric Dynamic Model to estimate passenger demand for air transport industry

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Keywords

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