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Cited by 37Aviation Industry Analysis and TrendsEnergy, Environment, and Transportation PoliciesTransportation Planning and Optimization

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The asymmetric effects of income and fuel price on air transport demand

Wadud, Zia·2014·Transportation Research Part A: Policy and Practice
DOI 10.1016/j.tra.2014.04.001
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  • An industry's response to macroeconomic factors is nonlinear, showing greater sensitivity to negative economic shocks than to positive shocks.

    “An industry's response to these factors is nonlinear, in that they show greater sensitivity to negative economic shocks than to positive shocks (Goh and Law, 2011; Chi and Baek, 2013; Wadud, 2014; Chi, 2024).”

    From Passenger and Freight Demand under Macroeconomic Volatility: Evidence from South Korea and The United States (2026) · cites this paper as Wadud, 2014

    The Conclusions report asymmetric air-transport demand responses to income and fuel-price changes. But the Results (section 4) do not establish greater sensitivity to negative shocks generally: fuel-price increases have a stronger effect than cuts, while the effect of falling income is not statistically distinguishable from that of income rising above a previous maximum. The findings also concern US air transport demand, not industries broadly. (LLM, conf=0.88)

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Research works printed but not linked: 38

  1. Adeyemi, 2007, Modelling OECD industrial energy demand: asymmetric price responses and energy-saving technical changes, Energy Econ., 29, 693, 10.1016/j.eneco.2007.01.007 · DOI
  2. Adeyemi, 2010, Asymmetric price responses and the underlying energy demand trend: Are they substitutes or compliments? Evidence from modelling OECD aggregate energy demand, Energy Econ., 32, 1157, 10.1016/j.eneco.2010.04.003 · DOI
  3. Bacon, 1991, Rockets and feathers: the asymmetric speed of adjustment of UK retail gasoline prices to cost changes, Energy Econ., 13, 211, 10.1016/0140-9883(91)90022-R · DOI
  4. Banerjee, 1986, Exploring equilibrium relationships in econometrics through static models: some Monte Carlo evidence, Oxford Bull. Econ. Stat., 48, 253, 10.1111/j.1468-0084.1986.mp48003005.x · DOI
  5. Bidwell, 1995, An analysis of asymmetric demand response to price changes: the case of local telephone calls, J. Regul. Econ., 8, 285, 10.1007/BF01070810 · DOI
  6. Breusch, 1978, Testing for autocorrelation in dynamic linear models, Aust. Econ. Pap., 17, 334, 10.1111/j.1467-8454.1978.tb00635.x · DOI
  7. Dargay, J.M., 1992. Are price and income elasticities of demand constant? Oxford Institute for Energy Studies EE 16, Oxford.
  8. Dargay, 2001, The effect of income on car ownership: evidence of asymmetry, Transp. Res. Part A, 35, 807
  9. Dargay, 1995, The imperfect price-reversibility of non-transportation oil demand in the OECD, Energy Econ., 17, 59, 10.1016/0140-9883(95)98907-L · DOI
  10. Dargay, 1997, The demand for transportation fuels: imperfect price-reversibility?, Transp. Res. Part B, 31, 71, 10.1016/S0191-2615(96)00014-8 · DOI
  11. Dickey, 1979, Distribution of estimators for autoregressive time-series with a unit root, J. Am. Stat. Assoc., 74, 427
  12. Durbin, 1970, Testing for serial correlation in least-squares regressions when some of the regressors are lagged dependent variables, Econometrica, 38, 410, 10.2307/1909547 · DOI
  13. Engle, 1982, Autoregressive conditional Heteroskedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987, 10.2307/1912773 · DOI · Paper page
  14. Engle, 1987, Cointegration and error correction: representation, estimation and testing, Econometrica, 55, 251, 10.2307/1913236 · DOI · Paper page
  15. Escobari, 2013, Asymmetric price adjustments in airlines, Manag. Decis. Econ., 34, 74, 10.1002/mde.2575 · DOI
  16. Gately, 1992, Imperfect price-reversibility of oil demand: asymmetric responses of US gasoline consumption to price increases and declines, Energy J., 13, 179, 10.5547/ISSN0195-6574-EJ-Vol13-No4-10 · DOI
  17. Gately, 2002, The asymmetric effects of changes in price and income on energy and oil demand, Energy J., 23, 19, 10.5547/ISSN0195-6574-EJ-Vol23-No1-2 · DOI
  18. Godfrey, 1978, Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables, Econometrics, 46, 1293, 10.2307/1913829 · DOI
  19. Goodwin, 1977, Habit and hysteresis in mode choice, Urban Stud., 14, 95, 10.1080/00420987720080101 · DOI · Paper page
  20. Hauksdottir, P., 2010. The Effects of Changes in Prices and Income on Car and Fuel Demand in Iceland, Masters Thesis, University of Iceland, Reykjavik.
  21. Hendry, 1986, Economic modelling with cointegrated variables: An overview, Oxford Bull. Econ. Stat., 48, 201, 10.1111/j.1468-0084.1986.mp48003001.x · DOI
  22. Hylleberg, 1990, Seasonal integration and cointegration, J. Econom., 44, 215, 10.1016/0304-4076(90)90080-D · DOI
  23. International Air Transport Association, 2013. Annual Review 2013, Cape Town.
  24. Ito, 2005, Assessing the impacts of the September 11 terrorist attacks on US airline demand, J. Econ. Bus., 57, 75, 10.1016/j.jeconbus.2004.06.003 · DOI
  25. Lim, 2008, Modelling income effects on long and short haul international travel from Japan, Tourism Manage., 29, 1099, 10.1016/j.tourman.2008.02.012 · DOI
  26. Osborn, 1993, Discussion: seasonal cointegration: the Japanese consumption function, J. Econom., 55, 275, 10.1016/0304-4076(93)90016-X · DOI
  27. Ozmen, M., 2009. Using Pass-through of Fuel Prices as a Proxy for Carbon Taxation Responses in the Aviation Industry, GARS Junior Researchers Workshop, July 5–7, Bremen.
  28. Pendyala, 1995, A repeated cross-sectional evaluation of car ownership, Transportation, 22, 165, 10.1007/BF01099438 · DOI
  29. Phillips, 1991, Estimating long-run equilibria, Rev. Econ. Stud., 58, 407, 10.2307/2298004 · DOI
  30. Profillidis, 2000, Econometric and fuzzy models for the forecast of demand in the airport of Rhodes, J. Air Transp. Manage., 6, 95, 10.1016/S0969-6997(99)00026-5 · DOI
  31. Ryan, 2002, Smaller and smaller? The price responsiveness of non-transport oil demand, Quart. Rev. Econ. Finance, 42, 285, 10.1016/S1062-9769(02)00131-X · DOI
  32. Sentenac-Chemin, 2012, Is the price effect on fuel consumption symmetric? Some evidence from an empirical study, Energy Policy, 41, 59, 10.1016/j.enpol.2010.07.016 · DOI
  33. Serletis, 2013, Is the oil price-output relation asymmetric?, J. Econ. Asymmetries, 10, 10, 10.1016/j.jeca.2013.06.001 · DOI
  34. Tsekeris, 2009, Dynamic analysis of air travel demand in competitive island markets, J. Air Trans. Manage., 15, 267, 10.1016/j.jairtraman.2008.11.008 · DOI
  35. Wadud, 2011, Modeling and forecasting passenger demand for a new domestic airport with limited data, Transport. Res. Rec. J. Transport. Res. Board, 2214, 59, 10.3141/2214-08 · DOI
  36. Wadud, 2013, Simultaneous modeling of passenger and cargo demand at an airport, Transport. Res. Rec. J. Transport. Res. Board, 2336, 63, 10.3141/2336-08 · DOI
  37. Wolffram, 1971, Positivistic measures of aggregate supply elasticities: some new approaches - some critical notes, Am. J. Agric. Econ., 53, 356, 10.2307/1237462 · DOI
  38. Young, 1983, The demand for cigarettes: alternative specifications of Fuji’s model, Appl. Econ., 15, 203, 10.1080/00036848300000030 · DOI

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Metadata

Authors
Wadud, Z.
Affiliations
University of Leeds (GB)
Corresponding author
Wadud, Zia
ORCID
Wadud, Zia
Venue
Transportation Research Part A: Policy and Practice
Publisher
Elsevier BV
Published
2014-07
Volume
65
Pages
92-102
ISSN
0965-8564 (ISSN-L)
DOI
10.1016/j.tra.2014.04.001
OpenAlex
W2139241748
Cited by
37
References
0
Citations by year
2026: 3 · 2025: 6 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 5 · 2019: 2 · 2018: 2 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 1
FWCI
7.49
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Transportation Research Part A Policy and Practice (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
  • Social Sciences › Transportation › Transportation Planning and Optimization
Keywords
air travel demand, passenger demand forecasting, fuel prices, income effects, hysteresis

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