A linear expenditure model for tourism demand

Pyo, Sung Soo; Uysal, Muzaffer; McLellan, R.W.

doi:10.1016/0160-7383(91)90051-c

Cited by 56 publications

(31 citation statements)

References 12 publications

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“…Song and Li (2008) further reviewed 121 econometric and time-series analyses of international tourism demand during the period 2000-2007. However, very few publications are found to exclusively focus on domestic tourism demand. The exceptions include Kim and Ngo (2001), Pyo, Uysal, and McLellan (1991), and Witt, Newbould, and Watkins (1992). More recently, some research attention has been paid particularly to the Australian domestic tourism market.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach

Athanasopoulos¹,

Deng²,

Li³

et al. 2014

Tourism Management

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Section: Literature Reviewmentioning

confidence: 99%

Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach

Athanasopoulos¹,

Deng²,

Li³

et al. 2014

Tourism Management

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“…Other demand system models such as the LES by Pyo, Uysal, and McLellan (1991) and the translog utility function by Bakkal (1991) have also appeared in the tourism context, but compared to AIDS/LAIDS their applications were extremely rare.…”

Section: Almost Ideal Demand Systems (Aids) Another Limitation Of Thmentioning

confidence: 99%

Recent Developments in Econometric Modeling and Forecasting

Song

Witt

2005

Journal of Travel Research

455

366

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Eighty-four post-1990 empirical studies of international tourism demand modeling and forecasting using econometric approaches are reviewed. New developments are identified and it is shown that applications of advanced econometric methods improve the understanding of international tourism demand. An examination of the 22 studies which compare forecasting performance suggests that no single forecasting method can outperform the alternatives in all cases. However, the timevarying parameter (TVP) model and structural time series model with causal variables perform consistently well.

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“…Alternative approaches have been considered, as almost ideal demand systems, Papatheodorou (1999) and Divisekera (2003); structural equations system, Bakkal and Scaperlanda (1991); or seemingly unrelated regressions Pyo, Uysal and McLellan (1991).…”

Section: Modelling Tourists' Arrivalsmentioning

confidence: 99%

Tourism and Economic Growth in Latin American Countries: A Panel Data Approach

2004

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The opinions expressed in this paper do not necessarily reflect the position of Terms of use: Documents in Fondazione Eni Enrico Mattei Tourism and Economic Growth in Latin American Countries: A Panel Data Approach SummaryWe consider the relationship between tourism and economic growth for Latin American countries since 1985 until 1998. The analysis proposed is based on a panel data approach and the Arellano-Bond estimator for dynamic panels. We obtain estimates of the relationship between economic growth and growth in tourists per capita conditional on main macroeconomic variables. We show that the tourism sector is adequate for the economic growth of medium or low-income countries, though not necessarily for developed countries. We then invert the causality direction of the analysis. Rather than explaining economic growth, we try to explain tourism arrivals conditional on GDP and other covariates such as safety, prices and education level, and investment in infrastructures. We employ a generalised least squares AR(1) panel data model. The results provide evidence that lowincome countries seem to need adequate levels of infrastructures, education and development to attract tourists. Medium-income countries need high levels of social development like health services and high GDP per capita levels. Finally, the results disclose that price of the destination, in terms of exchange rate and PPP is irrelevant for tourism growth.

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A linear expenditure model for tourism demand

Cited by 56 publications

References 12 publications

Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach

Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach

Recent Developments in Econometric Modeling and Forecasting

Tourism and Economic Growth in Latin American Countries: A Panel Data Approach

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