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Volumn 24, Issue 6, 2005, Pages 421-432

A leading indicator approach to predicting short-term shifts in demand for business travel by air to and from the UK

Author keywords

Business travel by air; Leading indicators; Probit; Short term forecasting

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; ESTIMATION; MATHEMATICAL MODELS;

EID: 25444481542     PISSN: 02776693     EISSN: None     Source Type: Journal    
DOI: 10.1002/for.961     Document Type: Article
Times cited : (21)

References (15)
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    • Bhadra D. 2003. Demand for air travel in the United States: bottom-up econometric estimation and implications for O&D forecast by O&D pairs. Journal of Air Transportation 8: 19-56.
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    • Bhadra, D.1
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    • 0042137606 scopus 로고    scopus 로고
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    • Button, K.1
  • 10
    • 0039066423 scopus 로고    scopus 로고
    • Predicting U.S. recessions: Financial variables as leading indicators
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    • Estrella, A.1    Mishkin, F.S.2
  • 12
    • 0012800427 scopus 로고    scopus 로고
    • Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend
    • Grubb H, Mason A. 2002. Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend. International Journal of Forecasting 17: 71-82.
    • (2002) International Journal of Forecasting , vol.17 , pp. 71-82
    • Grubb, H.1    Mason, A.2
  • 13
    • 0030738905 scopus 로고    scopus 로고
    • A demand for scheduled airline services on international European routes
    • Jorge-Calderon JD. 1997. A demand for scheduled airline services on international European routes. Journal of Air Transport Management 3: 23-35.
    • (1997) Journal of Air Transport Management , vol.3 , pp. 23-35
    • Jorge-Calderon, J.D.1
  • 15
    • 0033963895 scopus 로고    scopus 로고
    • A recursive modelling approach to predicting UK stock returns
    • Pesaran MH, Timmermann A. 2002. A recursive modelling approach to predicting UK stock returns. Economic Journal 110: 159-190.
    • (2002) Economic Journal , vol.110 , pp. 159-190
    • Pesaran, M.H.1    Timmermann, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.