Modified: May 08, 2005

•Agarwal, V. B., & Yochum, G. R. (1999). Tourist spending and race of visitors. Journal of Travel Research, 38, 173-176.
•Akis, S. (1998). A compact econometric model of tourism demand for Turkey. Tourism Management, 19(1), 99-102.
•Archer, B. H. (1976). Demand forecasting in tourism (Occasional paper No. 9). Bangor, Wales, UK.: University of Wales Press.
•Archer, B. H. (1980). Forecasting demand: Quantitative and intuitive techniques. International Journal of Tourism Management, 1(1), 5-12.
•Archer, B. H. (1994). Chapter 10 - Demand forecasting and estimation. In J. R. B. Ritchie & C. R. Goeldner (Eds.), Travel, tourism, and hospitality research: A handbook for managers and researchers (2nd ed., pp. 105-114).  New York, NY: John Wiley & Sons, Inc.
•Aroch, R. (1985). Socio-economic research into tourist motivation and demand patterns. Revue de Tourisme (Tourism Review)(4), 27-29.
•Ashworth, J., & Thomas, B. (1999). Patterns of seasonality in employment in tourism in the UK. Applied Economics Letters, 6(11), 735-739.
•Athiyaman, A. (1997). Knowledge development in tourism: Tourism demand research. Tourism Management, 18(4), 221-228.
•Athiyaman, A., & Robertson, R. W. (1992). Time series forecasting techniques: Short-term planning in tourism. International Journal of Contemporary Hospitality Management, 4(4), 8-11.
•Au, N., & Law, R. (2000). The Application of rough sets to sightseeing expenditures. Journal of Travel Research, 39(1), 70-77.
•Ayres, R. (1998). Demand theory reconsidered: Reflections on the demand for tourism in Cyprus. Tourism Economics, 4(4), 353-365.
•Bakkal, I. (1991). Characteristics of West German demand for international tourism in the Northern Mediterranean region. Applied Economics, 23(2), 295-304.
•Bar-On, R. R. (1979). Forecasting tourism - Theory and practice. Paper presented at the Tenth Travel and Tourism Research Association Conference, Salt Lake City, UT.
•Bar-On, R. R. (1999). The measurement of seasonality and its economic impacts. Tourism Economics, 5(4), 437-458.
•Bar-On, R. R. (2001). East Asia and the Pacific, and WTO's international tourism summary for 2000. Tourism Economics, 7(2), 191-208.
•Bargur, J., & Arbel, A. (1976). A comprehensive approach to the planning of the tourist industry. In C. E. Gearing, W. W. Swart & T. Var (Eds.), Planning for tourism development: Quantitative approaches.  New York, NY: Praeger Publishers.
•Baum, T., & Hagen, L. (1999). Responses to seasonality: The experiences of peripheral destinations. International Journal of Tourism Research, 1(5), 299-312.
•Ben-Akiva, M., & Lerman, S. R. (1985). Chapter 12 - Models of travel demand: Future directions. In Discrete choice analysis: Theory and application to travel demand. (pp. 259-373). Cambridge, MA: MIT Press.
•Black, J. T., Middleton, D. S., & Lin, P. (1992). An overview of factors likely to affect travel and tourism demand in the United States during the next ten years. (Working paper No. Paper 618). Washington, D.C.: Urban Land Institute, Research and Information Services.
•Blaine, T. W., Mohammed, G., Ruppel, F., & Var, T. (1995). US demand for Vietnam tourism. Annals of Tourism Research, 22(4), 933-936.
•Bloom, J. Z., & Leibold, M. (1994). Challenges for the South African tourism industry to the year 2010 based upon a Delphi market research project. South African Journal of Business Management, 25(4), 127-136.
•Bloom, J. Z., & Leibold, M. (1994). Demand forecasting approaches and practices in the South African tourism industry. Journal for Studies in Economics and Econometrics, 18(1), 73-89.
•Bond, D., Cohen, B., & Schachter, G. (1977). The spatial distribution of tourism demand and exchange rate variation: OECD European countries. Revue de Tourisme (Tourism Review)(1), 13-17.
•Brännäs, K., Hellström, J., & Nordström, J. (2002). A new approach to modelling and forecasting monthly guest nights in hotels. International Journal of Forecasting, 18(1), 19-30.
•Brännäs, K., & Nordström, J. (2000). A bivariate integer valued allocation model for guest nights in hotels and cottages (Scandinavian working papers in Economics No. 547). Stockholm, Sweden: Stockholm School of Economics.
•Buckley, P. J. (1987). Tourism - An economic transactions analysis. Tourism Management, 8(3), 190-194.
•Bull, A. (1995a). Chapter 3: The economics of tourism demand. In The economics of travel & tourism (2nd ed., pp. 25-52).  Melbourne, Victoria, Australia: Longman Group Limited.
•Bull, A. (1995b). The economics of travel & tourism (2nd ed.).  Melbourne, Victoria, Australia: Longman Group Limited.
•Burger, C. J. S. C., Dohnal, M., Kathrada, M., & Law, R. (2001). A practitioners guide to time-series methods for tourism demand forecasting - A case study of Durban, South Africa. Tourism Management, 22(4), 403-409.
•Cai, L. A., Hu, B., & Feng, R. (2001). Domestic tourism demand in China's urban centres: Empirical analyses and marketing implications. Journal of Vacation Marketing, 8(1), 64-74.
•Cai, L. A., & Knutson, B. J. (1998). Analyzing domestic tourism demand in China - A behavior model. Journal of Hospitality & Leisure Marketing, 5(2/3), 95-113.
•Calantone, R. J., di Benesetto, C. A., & Bojanic, D. (1987). A comprehensive review of the tourism forecasting literature. Journal of Travel Research, 26(2), 28-39.
•Carey, K. (1991). Estimation of Caribbean tourism demand: Issues in measurement and methodology. Atlantic Economic Journal, 19(3), 32-40.
•Carey, S., Gountas, Y., & Gilbert, D. (1997). Tour operators and destination sustainability. Tourism Management, 18(7), 425-431.
•Carraro, C., & Manente, M. (1995, May 30 - June 2). The TRIP and STREP forecasting models for Italy. Paper presented at the Second International Forum on Tourism Statistics, Venice, Italy.
•Chan, Y.-M. (1993). Forecasting tourism: A sine wave time series regression approach. Journal of Travel Research, 32(2), 58-60.
•Chan, Y.-M., Hui, T.-K., & Yuen, E. (1999). Modeling the impact of sudden environmental changes on visitor arrival forecasts: The case of the Gulf War. Journal of Travel Research, 37(4), 391-394.
•Chase, L. C., Lee, D. R., Schulze, W. D., & Anderson, D. J. (1998). Ecotourism demand and differential pricing of national park access in Costa Rica. Land Economics, 74(4), 466-482.
•Chen, J.-C. (2000). Forecasting method applications to recreation and tourism demand. Unpublished Ph.D. dissertation, North Carolina State University, Raleigh, NC.
•Cho, V. (2003). A comparison of three different approaches to tourist arrival forecasting. Tourism Management, 24(3), 323-330.
•Choi, J.-G. (2003). Developing an economic indicator system (a forecasting technique) for the hotel industry. International Journal of Hospitality Management, 22(2), 147-159.
•Chu, F.-L. (1998a). Forecasting tourism demand in Asian-Pacific countries. Annals of Tourism Research, 25(3), 597-615.
•Chu, F.-L. (1998b). Forecasting tourist arrivals: Nonlinear sine wave or ARIMA? Journal of Travel Research, 36(3), 79-84.
•Chu, F.-L. (2004). Forecasting tourism demand: A cubic polynomial approach. Tourism Management, 25(2), 209-218.
•Clarke, H. (2001). Book review: The economics of tourism. Economic Record, 77(239), 407-409.
•Clarke, H. R., & Ng, Y. K. (1995). Non-traded goods and the welfare gains from tourism: Comment. International Review of Economics and Finance, 4(3), 305-309.
•Clements, M. (1998). Planning to tourism capacity in a crisis. Journal of Travel Research, 37(1), 56-62.
•Clewer, A., Pack, A., & Sinclair, M. T. (1990). Forecasting models for tourism demand in city dominated and coastal areas. Papers of The Regional Science Association, 69, 31-42.
•Coenen, M., & van Eekeren, L. (2001). Demand for domestic tourism by Swedish households (Scandinavian working paper in economics No. 578). Stockholm, Sweden: Stockholm School of Economics.
•Cooper, C. P., Fletcher, J., Gilbert, D., & Wanhill, S. (1995). Chapter 5: Determinants of tourism demand. In Tourism: Principles and practice (pp. 32-41).  Harlow, Essex, England: Addison-Wesley Longman, Limited.
•Cooper, C. P., Fletcher, J., Gilbert, D., Wanhill, S., & Shepherd, R. (Eds.). (1998). Tourism: Principles and practice (2nd ed.).  Harlow, Essex, England: Addison-Wesley Longman, Limited.
•Coshall, J. (2000). Spectral analysis of international tourism flows. Annals of Tourism Research, 27(3), 577-589.
•Costa, P., Manente, M., Minghetti, V., & Centro internazionale di studi sull'economia turistica. (1996, May16-19). Tourism demand segmentation and consumption behaviour an economic analysis. Paper presented at the 31st TRC Meeting, Bergen, Venezia, Italy.
•Covington, B., Thunberg, E. M., & Jauregui, C. (1994). International demand of the United States as a travel destination. Journal of Travel & Tourism Marketing, 3(4), 39-50.
•Crouch, G. I. (1992). Effect of income and price on international tourism. Annals of Tourism Research, 19(4), 643-664.
•Crouch, G. I. (1994a). Demand elasticities for short-haul versus long-haul tourism. Journal of Travel Research, 33(2), 2-7.
•Crouch, G. I. (1994b). Price elasticities in international tourism. Hospitality Research Journal, 17(3), 27-39.
•Crouch, G. I. (1994c). Promotion and demand in international tourism. Journal of Travel & Tourism Marketing, 3(3), 109-125.
•Crouch, G. I. (1994d). The study of international tourism demand: A review of findings. Journal of Travel Research, 33(1), 12-23.
•Crouch, G. I. (1994e). The study of international tourism demand: A survey of practice. Journal of Travel Research, 32(4), 41-57.
•Crouch, G. I. (1995). A meta-analysis of tourism demand. Annals of Tourism Research, 22(1), 103-118.
•Crouch, G. I. (1996). Demand elasticities in international marketing: A meta-analytical application to tourism. Journal of Business Research, 36(2), 117-136.
•Crouch, G. I., & Shaw, R. N. (1992). International tourism demand:  A meta-analytical integration of research findings. In P. Johnson & B. Thomas (Eds.), Choice and demand in tourism. (pp. 175-207). London, UK: Cassell.
•Culpan, R. (1987). International tourism model for developing economies. Annals of Tourism Research, 14(4), 541-552.
•Daniel, A. C. M., & Ramos, F. F. R. (2002). Modelling inbound international tourism demand to Portugal. International Journal of Tourism Research, 4(3), 193-209.
•Darnell, A., Johnson, P., & Thomas, B. (1992). Modelling visitor flows at the Beamish Museum. In P. Johnson & R. B. Thomas (Eds.), Choice and demand in tourism (pp. 161-174). New York, NY: Mansell.
•Darnell, A. C., & Johnson, P. S. (2001). Repeat visits to attractions: A preliminary economic analysis. Tourism Management, 22(2), 119-126.
•Davis, T. (2001). Tourism growth could slow due to changing demographics.   Retrieved May 24, 2001
•de Carvalho, M. C. M., Dougherty, M. S., Fowkes, A. S., & Wardman, M. R. (1998). Forecasting travel demand: A comparison of logit and artificial neural network methods. Journal of the Operational Research Society, 49(7), 717-722.
•de Mello, M., Pack, A., & Sinclair, M. T. (1999). UK demand for tourism in its southern neighbours (Discussion paper No. 99/2). Nottingham, UK: Christel DeHaan Tourism and Travel Research Institute, Nottingham University.
•Delisle, J. (1999). The Canadian national tourism indicators: A dynamic picture of the satellite account. Tourism Economics, 5(4), 331-343.
•di Matteo, L. (1999). Using alternative methods to estimate the determinants of cross-border trips. Applied Economics, 31(1), 77-88.
•di Matteo, L., & di Matteo, R. (1993). The determinants of expenditures by Canadian visitors to the United States. Journal of Travel Research, 31(4), 34-42.
•Divisekera, S. (2003). A model of demand for international tourism. Annals of Tourism Research, 30(1), 31-49.
•Doggett, L. R. (2001). Tourism's role in a changing economy.  Retrieved December 20, 2001, from http://tinet.ita.doc.gov/about/index.html#TD?ti_cart_cookie=20011220.142220.22675
•Downward, P., & Lumsdon, L. (2001). The demand for day-visits: An analysis of visitor spending. Tourism Economics, 6(3), 251-261.
•Dritsakis, N., & Athanasiadis, S. (2000). An econometric model of tourist demand: The case of Greece. Journal of Hospitality & Leisure Marketing, 7(2), 39-49.
•Dritsakis, N., & Papanastasiou, J. (1998). An econometric investigation of Greek tourism: A note. Journal for Studies in Economics and Econometrics, 22(1), 115-122.
•Durbarry, R. (2001). Tourism expenditure in the UK: Analysis of competitiveness using a gravity-based model (Discussion paper No. 2000/1). Nottingham, UK: Christel DeHaan Tourism and Travel Research Institute, Nottingham University.
•Durbarry, R. (2002). Long run tourism demand: Error-correction modelling and cointegration in demand systems (Discussion paper No. 2002/1). Nottingham, UK: Christel DeHaan Tourism and Travel Research Institute, Nottingham University.
•Economist Intelligence Unit. (1995). Real exchange rates and international tourism demand. Travel & Tourism Analyst(4), 66-92.
•Edgell, D. L., & Seely, R. L. (1980). A multi-stage model for the development of international forecasts for states regions. In D. E. Hawkins, E. L. Shafer & J. M. Rovelstad (Eds.), Tourism planning and development issues (pp. 407-410). Washington, DC: George Washington University.
•Edgell, D. L., & Smith, G. (1993). Tourism milestones for the millennium: Projections and implications of international tourism for the United States through the year 2000. Journal of Travel Research, 32(1), 42-47.
•Edgell, D. L., & United States Travel and Tourism Administration. (1993). World tourism at the millennium: An agenda for industry, government, and education. Washington, DC: United States Travel and Tourism Administration (USTTA).
•EU Statistical Office (Eurostat). (2000a). Tourism. Luxembourg: EU Statistical Office.
•EU Statistical Office (Eurostat). (2000b). Yearbook on tourism statistics [Cd-rom database]. Luxembourg: EU Statistical Office.
•Eymann, A. (1990). Estimation of choice models for tourism demand. Methods of Operations Research, 64, 387-396.
•Eymann, A., & Ronning, G. (1997). Microeconometric model of tourists' destination choice. Regional Science & Urban Economics, 27(6), 735-761.
•Faulkner, B. (1988). Patterns of tourism demand in Australia an analysis of recent trends. (Occasional paper No. 4). Canberra: Bureau of Tourism Research (BTR).
•Faulkner, B. (1988). Tourism demand patterns - Australia. International Journal of Hospitality Management, 7(4), 333-341.
•Faulkner, B. (1997). A model for the evaluation of natural tourism destination marketing programs. Journal of Travel Research, 35(3), 23-32.
•Faulkner, B. (2003). Progressing tourism research.  Clevedon, UK: Channel View Publications.
•Faulkner, B., & Valerio, P. (1995). An integrative approach to tourism demand forecasting. Tourism Management, 16(1), 29-37.
•Faulkner, B., & Valerio, P. (2000). Chapter 3: An integrative approach to tourism demand forecasting. In C. Ryan & S. Page (Eds.), Tourism management: Toward the new millennium. (pp. 45-58).  Oxford, UK: Pergamon, Elsevier Science Ltd.
•Fesenmaier, D. R., O'Leary, J. T., & Uysal, M. (1996). Recent advances in tourism marketing research.  New York: Haworth Press.
•Frechtling, D. C. (1992). The US tourism industry's view Of EC '92. Tourism Management, 13(1), 37-40.
•Frechtling, D. C. (2001). Forecasting tourism demand: Methods and strategies. Oxford, UK: Butterworth-Heinemann.
•Frechtling, D. C. (2003). Tourism demand modelling and forecasting: Modern econometric approaches. Journal of Travel Research, 41(3), 332-334.
•Fujii, E. T., Khaled, M., & Mak, J. (1985). An almost ideal demand system for visitor expenditures. Journal of Transport Economics and Policy, 19(2), 161-171.
•Fujii, E. T., & Mak, J. (1980). Forecasting travel demand when the explanatory variables are highly correlated. Journal of Travel Research, 18(4), 31-34.
•Fujii, E. T., & Mak, J. (1981). Forecasting tourism demand: Some methodological issues. Annals of Regional Science, 15(2), 72-82.
•Gallet, C. A., & Braun, B. M. (2001). Gradual switching regression estimates of tourism demand. Annals of Tourism Research, 28(2), 503-508.
•Galvis, L. A., & Modesta Aguilera, M. (1999). Determinantes de la demanda por turismo hacia Cartagena, 1987-1998 (With English summary). Lecturas de Economia, 0(51), 47-87.
•García-Ferrer, A., & Queralt, R. A. (1997). A note on forecasting international tourism demand in Spain. International Journal of Forecasting, 13(4), 539-549.
•Garin-Munoz, T., & Amaral, T. P. (2000). An econometric model for international tourism flows to Spain. Applied Economics Letters, 7(8), 525-529.
•Gee, C. Y., & Fayos-Solá, E. (1997). International tourism: A global perspective. Madrid, Spain: World Tourism Organization.
•Genyikdagi, N. V. (1995). Investments in tourism development and the demand for tourism. International Review of Economics and Business, 42(5), 391-405.
•George, R. (2003). Tourist's perceptions of safety and security while visiting Cape Town. Tourism Management, 24(5), 575-585.
•Gilbert, D. C., & Hudson, S. (2000). Tourism demand constraints: A skiing participation. Annals of Tourism Research, 27(4), 906-925.
•Gilbert, D. C., & Terrata, M. (2001). An exploratory study of factors of Japanese tourism demand for the UK. International Journal of Contemporary Hospitality Management, 13(2), 70-78.
•Goh, C., & Law, R. (2002). Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention. Tourism Management, 23(5), 499-510.
•Goh, C., & Law, R. (2003). Incorporating the rough sets theory into travel demand analysis. Tourism Management, 24(5), 511-517.
•González, J. M. (1999). A system of logistic type equations which modellizes visitors demand in two areas of Tenerife Island. Nonlinear Analysis, 35(1), 111-123.
•Gonzalez, P., & Moral, P. (1995). An analysis of the international tourism demand in Spain. International Journal of Forecasting, 11(2), 233-251.
•Gonzalez, P., & Moral, P. (1996). Analysis of tourism trends in Spain. Annals of Tourism Research, 23(4), 739-754.
•Gray, H. P. (1982). The contributions of economics to tourism. Annals of Tourism Research, 9(1), 105-125.
•Greenidge, K. (2001). Forecasting tourism demand: An STM approach. Annals of Tourism Research, 28(1), 98-112.
•Grubb, H., & Mason, A. (2001). Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend. International Journal of Forecasting, 17(1), 71-82.
•Guarini, R., & Cantoloni, A. (1984). La domanda di turismo in Italia. Un'analisi interpretativa. (Tourism Demand in Italy. An Interpretive Analysis. With English summary.). Rivista Internazionale di Scienze Economiche e Commerciali, 31(7), 675-695.
•Gunadhi, H., & Boey, C. K. (1986). Demand elasticities of tourism in Singapore. Tourism Management, 7(4), 239-253.
•Gustavsson, P., & Nordström, J. (2001). The impact of seasonal unit roots and vector ARMA modelling on forecasting monthly tourism flows. Tourism Economics, 7(2), 117-133.
•Hamal, K. (1996-1997). Modeling domestic holiday tourism demand in Australia: Problems and solutions. Asia Pacific Journal of Tourism Research, 1(2), 35-46.
•Hamilton, J. (1988). Trends in tourism demand patterns in New Zealand: International And domestic. International Journal of Hospitality Management, 7(4), 299-320.
•Han, X., & Fang, B. (1997). Measuring the size of tourism and its impact in an economy. Statistical Journal of the UN Economic Commission for Europe, 14(4), 357-380.
•Hellström, J. (2002a). Count data modelling and tourism demand (Scandinavian working papers in Economics No. 584). Stockholm, Sweden: Stockholm School of Economics.
•Hellström, J. (2002b). An endogenously stratified bivariate count data model for household tourism demand (Scandinavian working papers in Economics No. 583). Stockholm, Sweden: Stockholm School of Economics.
•Hiemstra, S. J., & Ismail, J. A. (1999). Chapter 5: Behavioral models related to tourism. In T. Baum & R. Mudambi (Eds.), Economic and management methods for tourism and hospitality research (pp. 47-66).  Chichester, UK: John Wiley & Sons, Inc.
•Hudman, L. E. (1989). Changing travel patterns of residents of the USA traveling overseas. Tourism Management, 10(3), 261-265.
•Hughes, C. G. (1988). Viewpoints: Conference tourism - A salesman's Dream. Tourism Management, 9(3), 235-238.
•Hughes, H. L. (1993). The structural theory of business demand: A comment. International Journal of Hospitality Management, 12(4), 309-311.
•Icoz, O., Var, T., & Kozaka, M. (1998). Tourism demand in Turkey. Annals of Tourism Research, 25(1), 236-240.
•International Labour Organization (ILO). (2001, April 1). Human resources development, employment and globalization in the hotel, catering and tourism sector. Tripartite Meeting on Human Resources Development, Employment and Globalization in the Hotel, Catering and Tourism Sector  Retrieved June 28, 2001, from http://www.ilo.org/public/english/dialogue/sector/techmeet/tmhct01/tmhct-r.pdf
•Ioannides, D., & Debbage, K. G. (Eds.). (1998). The economic geography of the tourist industry: A supply-side analysis.  London, UK: Routledge Publishers.
•Ismail, J. A., Iverson, T. J., & Cai, L. A. (2000). Forecasting Japanese arrivals to Guam: An empirical model. Journal of Hospitality & Leisure Marketing, 7(2), 51-63.
•Jang, S. S., Bai, B., Hong, G.-S., & O'Leary, J. T. (2004). Understanding travel expenditure patterns: A study of Japanese pleasure travelers to the United States by income level. Tourism Management, 25(3), 331-341.
•Jensen, T. C. (1998). Income and price elasticities by nationality for tourists in Denmark. Tourism Economics, 4(2), 101-130.
•Johnson, P., & Ashworth, J. (1990). Modeling tourism demand: A summary review. Leisure Studies, 9(2), 145-160.
•Johnson, P., & Thomas, R. B. (1992). Choice and demand in tourism.  New York, NY: Mansell.
•Johnson, R. L., & Suits, D. B. (1983). A statistical analysis of the demand for visits to U.S. national parks: Travel costs and seasonality. Journal of Travel Research, 22(2), 21-24.
•Jud, D. G. (1971). The demand for tourism: The case of Latin America. Unpublished Ph.D. dissertation, University of Iowa, Iowa City, IA.
•Jud, D. G., & Joseph, H. (1974). International demand for Latin American tourism. Growth and Change, 5(1), 25-31.
•Kandampully, J. (2000). The impact of demand fluctuation on the quality of service: A tourism industry example. Managing Service Quality, 10(1), 10.
•Kass, D. I., & Okubo, S. (2000). U.S. travel and tourism satellite accounts for 1996 and 1997. Survey of Current Business, 80(7), 8-24.
•Kaynak, E., Bloom, J., & Leibold, M. (1994). Using the Delphi technique to predict future tourism potential. Marketing Intelligence & Planning, 12(7), 18-29.
•Kester, J. G. C. (2003). Preliminary results for international tourism in 2002: Air transport after 11 September. Tourism Economics, 9(1), 95-100.
•Kim, J. M. (2000a). Report - A study of tourist demand and accommodation in the Mt. Paekdusan/Changbaishan area. Tourism Economics, 6(1), 73-83.
•Kim, J. M. (2000b). A study of tourist demand and accommodation in the Mt Paekdusan/Changbaishan. Tourism Economics, 6(1), 73-83.
•Kim, S., & Song, H. (1998). Analysis of inbound tourism demand in South Korea: A cointegration and error correction approach. Tourism Analysis, 3(1), 25-41.
•Kim, Y., & Uysal, M. (1998). Time-dependent analysis for international hotel demand in Seoul. Tourism Economics, 4(3), 253-263.
•Koenig, N., & Bischoff, E. E. (2003). Seasonality of tourism in Wales: A comparative analysis. Tourism Economics, 9(3), 229-254.
•Kointarangkul, S. (1990). The relationships of certain economic factors to tourism demand as observed in touristic interactions between Japan, West Germany, the United Kingdom, and the United States. Unpublished DBA dissertation, United States International University.
•Kulendran, N. (1996). Modeling quarterly tourist flows to Australia using cointegration analysis. Tourism Economics, 2(3), 203-222.
•Kulendran, N., & King, M. L. (1997). Forecasting international quarterly tourist flows using error-correction and time series models. International Journal of Forecasting, 13(3), 319-327.
•Kulendran, N., & Witt, S. F. (2001). Cointegration versus least squares regression. Annals of Tourism Research, 28(2), 291-311.
•Kulendran, N., & Witt, S. F. (2003a). Forecasting the demand for international business tourism. Journal of Travel Research, 41(3), 265-271.
•Kulendran, N., & Witt, S. F. (2003b). Leading indicator tourism forecasts. Tourism Management, 24(5), 503-510.
•Lagos, D. G. (1999). Exploratory forecasting methodologies for tourism demand. Ekistics, 66(394-396), 143154.
•Laimer, P. (1998). Tourism statistics in the European Union. New challenges and demands on the official tourism statistics in Austria. Tourism and Hospitality Management, 4(1), 61-80.
•Latham, J. (1993). Modeling and forecasting demand in tourism. Service Industries Journal, 13(3), 150-151.
•Latham, J. (1995). International tourism flows. Progress in Tourism and Hospitality Research, 1(1), 63-73.
•Lathiras, P., & Siriopoulos, C. (1998). The demand for tourism to Greece: A cointegration approach. Tourism Economics, 4(2), 171-185.
•Law, R. (2000). Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting. Tourism Management, 21(4), 331-340.
•Law, R., & Au, N. (1999). A neural network model to forecast Japanese demand for travel to Hong Kong. Tourism Management, 20(1), 89-97.
•Law, R., & Cheung, C. (1998). Prospects of the Hong Kong tourism industry. FIU Hospitality Review, 16(2), 39-51.
•Lee, C. K. (1996). Major determinants of international tourism demand for South Korea: Inclusion of marketing variable. Journal of Travel & Tourism Marketing, 5(1/2 & 3), 101-118.
•Leslie, D. (1999). Terrorism and tourism: The Northern Ireland situation - a look behind the veil of certainty. Journal of Travel Research, 38(1), 37-40.
•Levantis, T., & Gani, A. (2000). Tourism demand and the nuisance of crime. International Journal of Social Economics, 27(7-8-9-10), 959-967.
•Lickorish, L. J. (1988). UK tourism development: A 10-year review. Tourism Management, 9(4), 270.
•Lim, C. (1997a). An econometric classification and review of international tourism demand models. Tourism Economics, 3(1), 69-81.
•Lim, C. (1997b). The functional specification of international tourism demand models. Mathematics and Computers in Simulation, 43(3-6), 535-543.
•Lim, C. (1997c). Review of international tourism demand models. Annals of Tourism Research, 24(4), 835-849.
•Lim, C. (1999a). A meta-analytical review of international tourism demand. Journal of Travel Research, 37(3), 273-284.
•Lim, C. (1999b). A quantitative analysis of Malaysian tourism demand for Australia. International journal of business studies, 7(1), 47.
•Lim, C., & McAleer, M. (2000). A seasonal analysis of Asian tourist arrivals to Australia. Applied Economics, 32(4), 499-509.
•Lim, C., & McAleer, M. (2001a). Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia. Applied Economics, 33(12), 1599-1619.
•Lim, C., & McAleer, M. (2001b). Forecasting tourist arrivals. Annals of Tourism Research, 28(4), 965-977.
•Lim, C., & McAleer, M. (2001c). Time series forecasting of international tourism demand for Australia (Discussion paper No. 533). Osaka, Japan: Institute of Social and Economic Research, Osaka University.
•Lim, C., & McAleer, M. (2002a). A cointegration analysis of annual tourism demand by Malaysia for Australia. Mathematics and Computers in Simulation, 59(1-3), 197-205.
•Lim, C., & McAleer, M. (2002b). Time series forecasts of international travel demand for Australia. Tourism Management, 23(4), 389-396.
•Lim, C., & McAleer, M. (2003). Modelling international travel demand from Singapore to Australia. Anatolia, 14(1), 23-44.
•Lim, C., & McAleer, M. (2005). Analyzing the behavioral trends in tourist arrivals from Japan to Australia. Journal of Travel Research, 43(4), 414-421.
•Lise, W., & Tol, R. S. J. (2001). Impact of climate on tourist demand (Working paper). Amsterdam, Netherlands: Institute for Environmental Studies, Vrije Universiteit.
•Lorde, C. E. (1995). International and Caribbean tourism management through forecasting techniques. Unpublished Ph.D. dissertation, Walden University, Minneapolis, MN.
•Lundberg, D. E., Krishnamoorthy, M., & Stavenga, M. H. (1995). Tourism economics. New York, NY: John Wiley & Sons, Inc.
•Luthio, A. (1995, May 30 - June 2). Implementation of the Eurostat methodology on basic tourism and travel statistics. Paper presented at the Second International Forum on Tourism Statistics, Venice, Italy.
•Lyssiotou, P. (2000). Dynamic analysis of British demand for tourism abroad. Empirical Economics, 25(3), 421-436.
•MacEniff, J. (1992). Seasonality of tourism demand in the European Community. Travel & Tourism Analyst(3), 67-88.
•Manente, M., Minghetti, V., & Costa, P. (1996). Tourism demand segmentation and consumption behavior: An electronic analysis. Revue de Tourisme (Tourism Review), 51(3), 53-62.
•Martin, C. A. (1987). International tourism demand forecasting a comparison of the accuracy of various quantitative forecasting techniques as applied to the main outward tourism flows from the German Federal Republic, France, the UK and the USA. Unpublished Ph.D. dissertation, University Of Bradford, UK.
•Martin, C. A., & Witt, S. F. (1987). Tourism demand forecasting models: Choice of appropriate variables to represent tourists' cost of living. Tourism Management, 8(3), 233-246.
•Martin, C. A., & Witt, S. F. (1988). Substitute prices in models of tourism demand. Annals of Tourism Research, 15(2), 255-268.
•Martin, C. A., & Witt, S. F. (1989a). Accuracy of econometric forecasts of tourism. Annals of Tourism Research, 16(3), 407-428.
•Martin, C. A., & Witt, S. F. (1989b). Forecasting tourism demand: A comparison of the accuracy of several quantitative methods. International Journal of Forecasting, 5(1), 7-19.
•Mathieson, A., & Wall, G. (1987). Tourism: Economic, physical, and social impacts. Harlow, Essex, UK: Longman Scientific & Technical.
•Middleton, D. S. (1992). Travel and tourism overview of travel and tourism demand in the U.S. (Working paper No. 617). Washington, D.C.: Urban Land Institute, Research and Information Services.
•Middleton, V. T., & Clarke, J. (2001). Chapter 4 - The dynamic business environment: Factors influencing demand for tourism. In Marketing in travel and tourism (3rd ed., pp. 52-69).  Oxford, UK: Butterworth-Heinemann.
•Mill, R. C., & Morrison, A. M. (2002). Tourism: An overview of the tourism system. In The tourism system (4th ed., pp. 1-8).  Dubuque, IA: Kendall/Hunt Publishing Company.
•Miller, H. J., & Storm, J. D. (1996). Geographic information system design for network equilibrium-based travel demand models. Transportation Research (C), 4(6), 373-389.
•Moeller, G. H., & Shafer, E. L., Jr. (1994). Chapter 39 - The Delphi technique: A tool for long-range travel and tourism planning. In J. R. B. Ritchie & C. R. Goeldner (Eds.), Travel, tourism, and hospitality research: A handbook for managers and researchers (2nd ed., pp. 473-480). New York, NY: John Wiley & Sons, Inc.
•Morgan, J. N. (1986). The impact of travel costs on visits to U.S. national parks: Intermodal shifting among Grand Canyon visitors. Journal of Travel Research, 24(3), 23-28.
•Morley, C. L. (1991). Modeling international tourism demand: Model specification and structure. Journal of Travel Research, 30(1), 40-44.
•Morley, C. L. (1992). A microeconomic theory of international tourism demand. Annals of Tourism Research, 19(2), 250-267.
•Morley, C. L. (1993). Forecasting tourism demand using extrapolative time series methods. Journal of Tourism Studies, 4(1), 19-25.
•Morley, C. L. (1994a). Discrete choice analysis of the impact of tourism prices. Journal of Travel Research, 33(2), 8-14.
•Morley, C. L. (1994b). Experimental destination choice analysis. Annals of Tourism Research, 21(4), 780-791.
•Morley, C. L. (1994c). The use of CPI for tourism prices in demand modeling. Tourism Management, 15(5), 342-346.
•Morley, C. L. (1995a). Tourism demand characteristics, segmentation and aggregation. (Working paper No. 95-01). Melbourne, Victoria, Australia: Faculty of Business, Royal Melbourne Institute of Technology.
•Morley, C. L. (1995b). Tourism demand: Characteristics, segmentation and aggregation. Tourism Economics, 1(4), 315-328.
•Morley, C. L. (1996). A Comparison of three methods for estimating tourism demand models. Tourism Economics, 2(3), 223-234.
•Morley, C. L. (1997). An evaluation of the use of ordinary least squares for estimating tourism demand model. Journal of Travel Research, 35(4), 69-73.
•Morley, C. L. (1998). A dynamic international demand model. Annals of Tourism Research, 25(1), 70-84.
•Morley, C. L. (1999). Estimating integrated time series and other problems in modeling tourism demand. (Working paper No. 99/3). Melbourne, Victoria, Australia: Research Development Unit, RMIT (Royal Melbourne Institute of Technology) Business.
•Morley, C. L. (2000). Demand modeling methodologies: Integration and other issues. Tourism Economics, 6(1), 5-19.
•Moutinho, L., & Witt, S. F. (1995). Forecasting the tourism environment using a consensus approach. Journal of Travel Research, 33(4), 46-50.
•Narayan, P. K. (2004). Fiji's tourism demand: the ARDL approach to cointegration. Tourism Economics, 10(2), 193-206.
•Nordström, J. (2002). Dynamic and stochastic structures in tourism demand modelling (Scandinavian working papers in Economics No. 596). Stockholm, Sweden: Stockholm School of Economics.
•Noval, S. (1975). The demand for international tourism and travel theory and measurement. Unpublished Ph.D. Thesis, Princeton University, Princeton, NJ.
•Oh, C.-O., & Morzuch, B. J. (2005). Evaluating time-series models to forecast the demand for tourism in Singapore. Journal of Travel Research, 43(4), 404-413.
•Okubo, S., & Planting, M. A. (1998). U.S. travel and tourism satellite accounts for 1992. Survey of Current Business, 78(7), 8-22.
•Ong, C. (1995). Tourism demand models: A critique. Mathematics and Computers in Simulation, 39(3-4), 367-372.
•Oppermann, M. (1997). Chapter 2: International and intraregional tourism demand in the Pacific Rim. In M. Oppermann (Ed.), Pacific Rim tourism. (pp. 11-30).  Wallingford, UK: CAB International.
•Organization for Economic Co-operation and Development. (1967-1973). International tourism and tourism policy in OECD member countries. Paris, France: Organization for Economic Co-operation and Development (OECD).
•Organization for Economic Co-operation and Development. (1974-1994). Tourism policy and international tourism in OECD member countries. Paris, France: Organization for Economic Co-operation and Development (OECD).
•Organization for Economic Co-operation and Development. (1995-1997). Tourism policy and international tourism in OECD countries.  Paris, France: Organization for Economic Co-operation and Development (OECD).
•Paci, E. (1994). Global tourism forecasts to the year 2000 and beyond. Quaderni CISET - Venezia: Centro Internazionale di Studi sull'Economia Turistica, 8.1, 71-99.
•Pack, A., Clewer, A., & Sinclair, M. T. (1995). Regional concentration and dispersal of tourism demand in the UK. Regional Studies, 29(6), 570-576.
•Page, S. (1999). Chapter 4 - Analysing the demand for tourist travel. In Transport and tourism. (pp. 109-150).  Essex, UK: Addison Wesley Longman Limited.
•Pannell Kerr Forster, & English Tourist Board. (1984). Forecasts of British tourism demand, 1982-1987. London, UK: Research Services Branch, English Tourist Board.
•Papanikos, G., & Sakellariou, C. (1997). An econometric application of Almost Ideal Demand System model to Japan's tourist demand for ASEAN destinations. Journal of Applied Recreation Research, 22(2), 157-172.
•Papatheodorou, A. (1999). The demand for international tourism in the Mediterranean region. Applied Economics, 31(5), 619-630.
•Pizam, A. (1999). A comprehensive approach to classifying acts of crime and violence at tourism destinations. Journal of Travel Research, 38(1), 5-12.
•Pizam, A. (2000). Tourism and terrorism: A quantitative analysis of major terrorist acts and their impact on tourism destinations. Tourism Economics, 6(2), 123-138.
•Pizam, A., & Fleischer, A. (2002). Severity versus frequency of acts of terrorism: Which has a larger impact on tourism demand? Journal of Travel Research, 40(3), 337-339.
•Pizam, A., & Smith, G. (2000). Tourism and terrorism: A quantitative analysis of major terrorist acts and their impact on tourism destinations. Tourism Economics, 6(2), 123-138.
•Poukliakova, S. I. (2001). Book review - Tourism demand modelling and forecasting: Modern econometric approaches. Journal of Retailing and Consumer Services, 9(1), 54-55.
•Pyo, S.-S., Uysal, M., & McLellan, W. (1991). A linear expenditure model for tourism demand. Annals of Tourism Research, 18(3), 443-354.
•Pyo, S.-S., Uysal, M., & Warner, J. T. (1996). SURE estimation of tourism demand system model: U.S. Case. Journal of Travel & Tourism Marketing, 5(1/2 & 3), 145-160.
•Pyo, S. S. (1989). U.S. tourism demand: Seemingly unrelated regression equation models. Unpublished Ph.D. dissertation, Clemson University, NC.
•Qiu, H., & Zhang, J. (1995). Determinants of tourist arrivals and expenditures in Canada. Journal of Travel Research, 34(2), 43-49.
•Qu, H., & Lam, S. (1997). A travel demand model for Mainland Chinese tourists to Hong Kong. Tourism Management, 18(8), 593-597.
•Quandt, R. E. (Ed.). (1970). The demand for travel: Theory and measurement. Lexington, MA: Heath Lexington Books.
•Quayson, J., & Var, T. (1982). A tourism demand function for the Okanagan, BC. Tourism Management, 3(2), 108-115.
•Rao, C. P., & Ali, J. (2002). Neural network model for database marketing in the new global economy. Marketing Intelligence & Planning, 20(1), 35-43.
•Ritchie, J. R. B., & Goeldner, C. R. (1994). Travel, tourism, and hospitality research: A handbook for managers and researchers (2nd ed.). New York, NY: John Wiley & Sons, Inc.
•Ritchie, J. R. B., & Sheridan, M. (1988). Developing an integrated framework for tourism demand data in Canada. Journal of Travel Research, 27(1), 3-9.
•Rosensweig, J. A. (1986, July-August). Exchange rates and competition for tourists. New England Economic Review, 57-67.
•Rosensweig, J. A. (1988). Elasticities of substitution in Caribbean tourism. Journal of Development Economics, 29(1), 89-100.
•Ryan, C. (1991). Chapter 2: The determinants of demand for tourism. In Recreational tourism: A social science perspective (pp. 5-34). London, UK: Routledge.
•Ryan, C. (2000). Part II - Introduction: Economic forecasting in tourism. In C. Ryan & S. Page (Eds.), Tourism management: Toward the new millennium. (pp. 37-44).  Oxford, UK: Pergamon, Elsevier Science Ltd.
•Ryan, C., & Huyton, J. (2000). Aboriginal tourism - A linear structural relations analysis of domestic and international tourist demand. International Journal of Tourism Research, 2(1), 15-29.
•Ryan, C., & Page, S. J. (Eds.). (2000). Tourism management: Towards the new Millennium (Vol. 1). Amsterdam, Netherlands: Elsevier Science Ltd.
•Sauran, A. (1978). Economic determinants of tourist demand: A survey. Revue de Tourisme (Tourist Review), 3, 2-4.
•Schwartz, Z., & Hiemstra, S. J. (1997). Improving the accuracy of hotel reservations forecasting: Curves similarity approach. Journal of Travel Research, 36(1), 3-14.
•Seddighi, H. R., & Shearing, D. F. (1997). The demand for tourism in North East England with special reference to Northumbria: An empirical analysis. Tourism Management, 18(8), 499-511.
•Seo, W. S. (2000). An analysis of elasticity of tourism demand: How changes in price, hotel cost, and income affect tourism demand for the Bahamas. Unpublished Ph.D. dissertation, Pennsylvania State University, State College, PA.
•Sheldon, P. J. (1993). Forecasting tourism: Expenditure versus arrivals. Journal of Travel Research, 32(1), 13-20.
•Sheldon, P. J., & Var, T. (1985). Tourism forecasting: A review of empirical research. Journal of Forecasting, 4(2), 183-195.
•Silberman, J. (1985). A demand function for length of stay: The evidence from Virginia Beach. Journal of Travel Research, 23(4), 16-23.
•Sinclair, M. T. (1998). Tourism and economic development: A survey. Journal of Development Studies, 34(5), 1-51.
•Sinclair, M. T., & Stabler, M. (1997a). Chapter 2: The microfoundations of tourism demand. In The economics of tourism (Vol. 3, pp. 15-34). London, UK: Routledge.
•Sinclair, M. T., & Stabler, M. (1997b). Chapter 3: Empirical studies of tourism demand. In The economics of tourism (Vol. 3, pp. 35-57). London, UK: Routledge.
•Slattery, P. (1994). The structural theory of business demand: A reply to Hughes. International Journal of Hospitality Management, 13(2), 173-182.
•Smeral, E. (1988). Tourism demand, economic theory and econometrics: An integrated approach. Journal of Travel Research, 26(4), 38-43.
•Smeral, E. (1992). Long-term forecasts for tourism industries: The case of Austria and Switzerland. Service Industries Journal, 12(1), 60.
•Smeral, E. (1994). Measuring and managing the demand for public resources. In S. F. Witt & L. Moutinho (Eds.), Tourism marketing and management handbook. (2nd ed., pp. 510-515).  Hertfordshire, UK: Prentice Hall International (UK) Ltd.
•Smeral, E. (1995, 23-24 November). Forecast of tourism demand and perspectives for employment until the year 2005: A cross country scenario. Paper presented at the OECD seminar on perspectives and challenges of employment in the tourism industry., Vienna, Austria.
•Smeral, E. (1998). The impact of globalization on small and medium enterprises: New challenges for tourism policies in European countries. Tourism Management, 19(4), 371-380.
•Smeral, E. (2003). A structural view of tourism growth. Tourism Economics, 9(1), 77-93.
•Smeral, E., & Weber, A. (2000). Forecasting international tourism trends to 2010. Annals of Tourism Research, 27(4), 982-1006.
•Smeral, E., & Witt, S. F. (1992). The impacts of Eastern Europe and 1992 on international tourism demand. Tourism Management, 13(4), 368-376.
•Smeral, E., & Witt, S. F. (1996). Econometric forecasts of tourism demand to 2005. Annals of Tourism Research, 23(4), 891-907.
•Smeral, E., Witt, S. F., & Witt, C. A. (1992). Econometric forecasts: Tourism trends to 2000. Annals of Tourism Research, 19(3), 450-466.
•Smith, S. L. J. (1995). Tourism analysis: A handbook. (2nd ed.).  Harlow, Essex, UK: Longman Group Limited.
•Song, H., Romilly, P., & Liu, X. (2000). An empirical study of outbound tourism demand in the UK. Applied Economics, 32(5), 611-624.
•Song, H., & Witt, S. F. (2000). Tourism demand modelling and forecasting: Modern econometric approaches. New York, NY: Pergamon.
•Song, H., & Witt, S. F. (2003). Tourism forecasting: The general-to-specific approach. Journal of Travel Research, 42(1), 65-74.
•Song, H., Witt, S. F., & Li, G. (2003). Modelling and forecasting the demand for Thai tourism. Tourism Economics, 9(4), 363-387.
•Song, H., & Wong, K. K. F. (2003). Tourism demand modeling: A time-varying parameter approach. Journal of Travel Research, 42(1), 57-64.
•Stoddard, J. E., Dave, D. S., & Evans, M. R. (2001). Estimating demand for services in the nonprofit tourism industry. Services Marketing Quarterly, 22(1), 71-82.
•Stopher, P., & Lee-Gosselin, M. (Eds.). (1997). Understanding travel behaviour in an era of change. Oxford, UK: Elsevier Science Ltd.
•Summary, R. (1987). Estimation of tourism demand by multivariable regression analysis: Evidence from Kenya. Tourism Management, 8(4), 317-322.
•Sunday, A. A. (1978). Foreign travel and tourism prices and demand. Annals of Tourism Research, 5(2), 268-273.
•Swarbrooke, J., & Horner, S. (1999). Chapter 8: The global pattern of tourism demand. In Consumer behavior in tourism. (pp. 447).  Woburn, MA: Butterworth-Heinemann.
•Syriopoulos, T. C. (1990). Modelling tourism demand for Mediterranean destinations. Unpublished Ph.D. Thesis, University of Kent, Wetherby, West Yorkshire.
•Syriopoulos, T. C., & Sinclair, M. T. (1993). An econometric study of tourism demand: The AIDS model of U.S. and European tourism in Mediterranean countries. Applied Economics, 25(12), 1541-1552.
•Teigland, J. (1999). Mega-events and impacts on tourism: The predictions and realities of the Lillehammer Olympics. Impact Assessment and Project Appraisal, 17(4), 305-317.
•Tisdell, C. A. (Ed.). (2000). The economics of tourism. Cheltenham, UK: Edward Elgar Publishing, Ltd.
•Tonini, G. (1994). Modelli stocastici e previsioni a breve termine della domanda turistica. Il caso italiano dagli anni Ottanta in poi.  (Modeling and short-term forecasting of tourism demand. A case study:  Italy from 1980 forward.). Giornale degli Economisti e Annali di Economia, 53(10-12), 525-546.
•Tooman, L. A. (1997). Multipliers and life cycles: A comparison of methods for evaluating tourism and its impacts. Journal of Economic Issues, 31(4), 917-932.
•Tosun, C. (1999). An analysis of the economic contribution of inbound international tourism in Turkey. Tourism Economics, 5(3), 217-250.
•Tremblay, P. (1989). Pooling international tourism in Western Europe. Annals of Tourism Research, 16(4), 477-491.
•Tribe, J. (1999). The economics of leisure and tourism. (2nd ed.).  Oxford, UK: Butterworth-Heinemann.
•Turner, L. (2001). Book review: Tourism demand modeling and forecasting by H. Song and S. F. Witt; Pergamon, Oxford, 2000, 178 pages, US$75 hard cover, ISBN 0-08-043673-0. Tourism Management, 22(5), 578-579.
•Turner, L. W., Kulendran, N., & Fernando, H. (1997). The use of composite national indicators for tourism forecasting. Tourism Economics, 3(4), 309-317.
•Turner, L. W., Kulendran, N., & Pergat, V. (1995). Forecasting New Zealand tourism demand with disaggregated data. Tourism Economics, 1(1), 51-69.
•Turner, L. W., Reisinger, Y., & Witt, S. F. (1998). Tourism demand analysis using structural equation modeling. Tourism Economics, 4(4), 301-323.
•Turner, L. W., & Witt, S. F. (2000). Asia Pacific tourism forecasts.  London, UK: Lebhar-Friedman, Inc.
•Turner, L. W., & Witt, S. F. (2001a). Factors influencing demand for international tourism: Tourism demand analysis using structural equation modeling, revisited. Tourism Economics, 7(1), 21-38.
•Turner, L. W., & Witt, S. F. (2001b). Forecasting tourism using univariate and multivariate structural time series models. Tourism Economics, 7(2), 135-147.
•Uysal, M. S. (1998). The determinants of tourism demand: A theoretical perspective. In D. Ioannides & K. G. Debbage (Eds.), The economic geography of the tourist industry: A supply-side analysis. (pp. 79-95). New York, NY: Routledge.
•Uysal, M. S., & Crompton, J. L. (1984). Determinants of demand for international tourist flows to Turkey. Tourism Management, 5(4), 288-297.
•Uysal, M. S., & Crompton, J. L. (1985a). Deriving a relative price index for inclusion in international tourism demand. Journal of Travel Research, 24(1), 32-34.
•Uysal, M. S., & Crompton, J. L. (1985b). An overview of approaches used to forecast tourism demand. Journal of Travel Research, 23(4), 7-15.
•Uysal, M. S., & Crompton, J. L. (1987). Deriving a relative price index for inclusion in international tourism demand. [Reaction to the reaction of Witt and Martin]. Journal of Travel Research, 25(3), 40.
•Uysal, M. S., & El Roubi, M. S. (1999). Artificial neural networks versus multiple regression in tourism demand analysis. Journal of Travel Research, 38(2), 111-118.
•Uysal, M. S., & O'Leary, J. T. (1986). A canonical analysis of international tourism demand. Annals of Tourism Research, 13(4), 651-655.
•Vanegas, M., Sr., & Croes, R. R. (2000). Evaluation of demand: US tourists to Aruba. Annals of Tourism Research, 27(4), 946-963.
•Vanhove, N. (1980). Forecasting in tourism. Revue de Tourisme (Tourist Review), 3, 2-7.
•Var, T., Mohammad, G., & Icoz, O. (1990). Factors affecting international tourism demand for Turkey. Annals of Tourism Research, 17(4), 606-610.
•Velthuijsen, J. W., & Verhagen, M. (1994). A simulation model of the Dutch tourism market. Annals of Tourism Research, 21(4), 812-827.
•Vogt, M. G., & Wittayakorn, C. (1998). Determinants of the demand for Thailand's exports of tourism. Applied Economics, 30(6), 711-715.
•Walsh, M. (1996-1997). Demand analysis in Irish tourism. Journal of the Statistical and Social Inquiry Society of Ireland, 27(4), 1-35.
•Walsh, R. G., & Davitt, G. J. (1983). A demand function for length of stay on ski trips to Aspen. Journal of Travel Research, 21(4), 23-29.
•Wandner, S. A., & van Erden, J. D. (1980). Estimating the demand for international tourism using time series analysis. In D. E. Hawkins, E. L. Shafer & J. M. Rovelstad (Eds.), Tourism planning and development issues (pp. 381-392). Washington, DC: George Washington University.
•Wang, C.-H. (2004). Predicting tourism demand using fuzzy time series and hybrid grey theory. Tourism Management, 25(3), 367-374.
•Webber, A. G. (2001). Exchange rate volatility and cointegration in tourism demand. Journal of Travel Research, 39(4), 398-405.
•Weber, S. (1991). Problem areas and sources of errors in tourism demand research. Revue de Tourisme (Tourism Review)(3), 2-8.
•White, K. J. (1985). An international travel demand model US travel to Western Europe. Annals of Tourism Research, 12(4), 529-545.
•Witt, C. A., & Witt, S. F. (1990). Appraising an econometric forecasting model. Journal of Travel Research, 28(3), 30-34.
•Witt, C. A., & Witt, S. F. (2000). Chapter 4: Measures of forecasting accuracy - turning point error vs. size of error. In C. Ryan & S. Page (Eds.), Tourism management: Toward the new millennium. (pp. 59-69).  Oxford, UK: Pergamon, Elsevier Science Ltd.
•Witt, C. A., Witt, S. F., & Wilson, N. (1994). Forecasting international tourist flows. Annals of Tourism Research, 21(3), 596-611.
•Witt, S. F. (1991, Jane 9-13). Assessing the accuracy of published econometric forecasts of international tourism demand. Paper presented at the Travel and Tourism Research Association Twenty-Second Annual Conference - Tourism: Building credibility for a credible industry, Long Beach, CA.
•Witt, S. F. (1992a). Tourism forecasting: How well do private and public sector organizations perform? Tourism Management, 13(1), 79-84.
•Witt, S. F. (1992b). The track records of tourism forecasting services. In P. Johnson & R. B. Thomas (Eds.), Choice and demand in tourism. (pp. 209-220).  London, U.K.: Mansell Publishing Limited.
•Witt, S. F. (1993, December 10-11). Determinants of international tourism demand. Paper presented at the Forecasting toursim demand: Theory and the case of Italy, Venice, Italy.
•Witt, S. F. (1998, June 17-19). Tourism forecasting: What do we know? Paper presented at the Fourth International Forum on Tourism Statistics, Copenhagen, Denmark.
•Witt, S. F., Brooke, M. Z., & Buckley, P. J. (1995a). Chapter 3: Tourism demand. In The management of international tourism (2nd ed., pp. 27-63). London, UK: Routledge.
•Witt, S. F., Brooke, M. Z., & Buckley, P. J. (1995b). The management of international tourism (2nd ed.). London, UK: Routledge.
•Witt, S. F., & Martin, C. A. (1985). Forecasting future trends in European tourist demand. Tourist Review, 40(4), 12-20.
•Witt, S. F., & Martin, C. A. (1987a). Deriving a relative price index for inclusion in international tourism demand estimation models: Comment/Revisited. Journal of Travel Research, 25(3), 38-40.
•Witt, S. F., & Martin, C. A. (1987b). Econometric models for forecasting international tourism demand. Journal of Travel Research, 25(3), 23-30.
•Witt, S. F., & Martin, C. A. (1987c). International tourism-demand models - inclusion of marketing variables. Tourism Management, 8(1), 33-40.
•Witt, S. F., Newbould, G. D., & Watkins, A. J. (1992). Forecasting domestic tourism demand: Application to Las Vegas arrivals data. Journal of Travel Research, 31(1), 36-41.
•Witt, S. F., & Song, H. (2001). Chapter 9: Forecasting future tourism flows. In A. Lockwood & S. Medlik (Eds.), Tourism and hospitality in the 21st century (pp. 106-118).  Oxford, UK: Butterworth-Heinemann.
•Witt, S. F., Song, H., & Louvieris, P. (2003). Statistical testing in forecasting model selection. Journal of Travel Research, 42(2), 151-158.
•Witt, S. F., Sykes, A. M., & Dartus, M. (1995). Forecasting international conference attendance. Tourism Management, 16(8), 559-570.
•Witt, S. F., & Witt, C. A. (1991a). Modelling and forecasting demand in tourism.  London, UK: Academic Press.
•Witt, S. F., & Witt, C. A. (1991b). Tourism forecasting: Error magnitude, direction of change error, and trend change error. Journal of Travel Research, 30(2), 26-33.
•Witt, S. F., & Witt, C. A. (1992). Modeling and forecasting demand in tourism.  London: Academic Press.
•Witt, S. F., & Witt, C. A. (1994). Assessing forecasting performance. In S. F. Witt & L. A. Moutinho (Eds.), Tourism marketing and management handbook (2nd ed., pp. 540-543).  Hertfordshire, UK: Prentice Hall International (UK) Ltd.
•Witt, S. F., & Witt, C. A. (1995). Forecasting tourism demand: A review of empirical research. International Journal of Forecasting, 11(3), 447-475.
•Witt, S. F., & Witt, C. A. (2000). Forecasting tourism demand: A review of empirical research. In C. A. Tisdell (Ed.), The economics of tourism (Vol. 1, pp. 141-169).  Cheltenham, UK: Edward Elgar Publishing, Ltd.
•Wong, K. K. F. (1997). The relevance of business cycles in forecasting international tourist arrivals. Tourism Management, 18(8), 581-586.
•Wong, K. K. F. (2000). Tourism demand modelling and forecasting: Modern econometric approaches. Asia Pacific Journal of Tourism Research, 5(2), 85-87.
•World Tourism Organization. (1994). Recommendations on tourism statistics.  Madrid, Spain: World Tourism Organization (WTO).
•World Tourism Organization. (1995). Collection and compilation of tourism statistics. (Technical manual No. 4).  Madrid, Spain: World Tourism Organization (WTO).
•World Tourism Organization. (1999). Impacts of the financial crisis on Asia's tourism sector.  Madrid, Spain: World Tourism Organization.
•World Tourism Organization. (2000a). Basic references on tourism statistics.  Retrieved December 15, 2001, from http://www.world-tourism.org/statistics/basic_references/index-en.htm
•World Tourism Organization. (2000b). General guidelines for developing the tourism satellite account (TSA): Measuring total tourism demand (Vol. 1).  Madrid, Spain: World Tourism Organization.
•World Tourism Organization. (2000c). General guidelines for developing the tourism satellite account (TSA): Measuring total tourism supply (Vol. 2).  Madrid, Spain: World Tourism Organization.
•World Tourism Organization. (2001). International comparability of data: Basic indicators.  Retrieved December 9, 2001, from http://www.world-tourism.org/statistics/basic_references/ingles/B.2.htm
•Yoon, J., & Shafer, E. L. (1996). Models of U.S. travel demand patterns for the Bahamas. Journal of Travel Research, 35(1), 50-56.
•Young, P., & Pedregal, D. (1997). Comments on "An analysis of the international tourism demand in Spain." International Journal of Forecasting, 13(4), 551-556.
•Zhang, H. Q. (1998). The importance of income, the exchange rate, and the crime rate in influencing demand for Hong Kong as an international tourist destination. Australian Journal of Hospitality Management, 5(1), 1-8.
•Zins, A. H. (1999). Destination portfolios using a European vacation style typology. Journal of Travel & Tourism Marketing, 8(1), 1-23.