Is Participation in Tourism Market an Opportunity for Everyone? Some Evidence from Italy
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Abstract
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DOI: 10.22004/ag.econ.165757
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Other versions of this item:
- Cristina Bernini & Maria Francesca Cracolici, 2016. "Is Participation in the Tourism Market an Opportunity for Everyone? Some Evidence from Italy," Tourism Economics, , vol. 22(1), pages 57-79, February.
- Cristina Bernini & Maria Francesca Cracolici, 2014. "Is Participation in Tourism Market an Opportunity for Everyone? Some Evidence from Italy," Working Papers 2014.17, Fondazione Eni Enrico Mattei.
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Cited by:
- Cellini, Roberto & Cuccia, Tiziana, 2014.
"The Tourism Industry in Italy during the Great Recession (2008-12): What Data Show and Suggest,"
MPRA Paper
60999, University Library of Munich, Germany.
- Cellini, Roberto & Cuccia, Tiziana, 2014. "The Tourism Industry in Italy during the Great Recession (2008-12): What Data Show and Suggest," MPRA Paper 62473, University Library of Munich, Germany, revised Feb 2015.
- Bernini, Cristina & Cracolici, Maria Francesca, 2015. "Demographic change, tourism expenditure and life cycle behaviour," Tourism Management, Elsevier, vol. 47(C), pages 191-205.
- Faruk Urak & Nihat Küçük & Abdulbaki Bilgiç & Steven T Yen, 2023. "Modeling censored tourism expenditures in Turkey with non-normal and heteroscedastic errors: An application of the inverse hyperbolic sine double-hurdle model," Tourism Economics, , vol. 29(3), pages 718-741, May.
- Cristina Bernini & Maria Francesca Cracolici & Cinzia Viroli, 2017. "Does Tourism Consumption Behaviour Mirror Differences in Living Standards?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 1157-1171, December.
- David Boto-GarcÃa & Alvaro Muñiz-Fernández & Levi Pérez, 2024. "Windfall money and outbound tourism: A natural experiment from lottery winnings," Tourism Economics, , vol. 30(5), pages 1257-1280, August.
- Cristina Bernini & Maria Francesca Cracolici & Peter Nijkamp, 2020. "Micro and Macro Resilience Measures of an Economic Crisis," Networks and Spatial Economics, Springer, vol. 20(1), pages 47-71, March.
- Chiara Bocci & Laura Grassini & Emilia Rocco, 2021. "A multiple inflated negative binomial hurdle regression model: analysis of the Italians’ tourism behaviour during the Great Recession," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1109-1133, October.
- Gianluca Cafiso & Roberto Cellini & Tiziana Cuccia, 2015. "Do Economic Crises Lead Tourists to Closer Destinations? An Analysis of Italy's Regional Data," CESifo Working Paper Series 5250, CESifo.
- Massidda, Carla & Piras, Romano & Seetaram, Neelu, 2020. "A Microeconomics Analysis of the Per Diem Expenditure of British Travellers," Annals of Tourism Research, Elsevier, vol. 82(C).
- Mariia Ilina, 2016. "Forecasting perspectives of the tourism industry development in the condition of economic depression," Economics of Nature and the Environment, Mykhaylo Khvesyk, pages 237-246.
- Deely, John & Hynes, Stephen & Cawley, Mary & Hogan, Sarah, 2023. "Modelling domestic marine and coastal tourism demand using logit and travel cost count models," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 123-136.
- Chuanyong Zhang & Guoliang Feng, 2018. "More wealth, less leisure? Effect of housing wealth on tourism expenditure in China," Tourism Economics, , vol. 24(5), pages 526-540, August.
- Hyeongwoo Kim & Liping Gao, 2017. "Consumer Spending on Entertainment and the Great Recession," Auburn Economics Working Paper Series auwp2017-07, Department of Economics, Auburn University.
- Pierpaolo D’Urso & Marta Disegna & Riccardo Massari, 2020. "Satisfaction and Tourism Expenditure Behaviour," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 1081-1106, June.
More about this item
Keywords
;JEL classification:
- D10 - Microeconomics - - Household Behavior - - - General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
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