Testing linearity in the long-run relationship between economic growth and passenger air transport in Mexico

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

This paper analyzes the dynamic relationship between Mexican air transport expansion and economic growth. To this end, non-parametric cointegration techniques and non-parametric causality tests are introduced and applied to quarterly data of GDP and number of air passengers in Mexico for the period 1995-2013. These procedures allow to test the existence of long run relationship between the variables and to decide whether the model is linear or not. The empirical results show the existence of a cointegration relationship between air transport and economic growth, and that this relationship is linear. In addition, the nonparametric causality tests confirm bidirectional causality between transport and growth.

Original languageEnglish
Pages (from-to)437-450
Number of pages14
JournalInternational Journal of Transport Economics
Volume43
Issue number4
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Air transport and growth, nonlinear co-integration
  • Mexico
  • Non-parametric causality tests

Fingerprint

Dive into the research topics of 'Testing linearity in the long-run relationship between economic growth and passenger air transport in Mexico'. Together they form a unique fingerprint.

Cite this