Museum and monument attendance and tourism flow: A time series analysis approach
AbstractThis paper takes a time series analysis approach to evaluate the directions of causality between tourism flows, on the one side, and museum and monument attendance, on the other. We consider Italy as a case study, and analyze monthly data over the period January 1996 to December 2007. All considered series are seasonally integrated, and co-integration links emerge. We focus on the error correction mechanism among co-integrated time series to detect the directional link(s) of causality. Clear-cut results emerge: generally, the causality runs from tourist flows to museum and monument attendance. The non-stationary nature of time series, their co-integration relationships, and the direction of causal links suggest specific implication for tourism and cultural policies.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 18908.
Date of creation: Nov 2009
Date of revision:
Tourism; Museum; Seasonal unit root; Co-integration; Causality.;
Other versions of this item:
- Roberto Cellini & Tiziana Cuccia, 2013. "Museum and monument attendance and tourism flow: a time series analysis approach," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3473-3482, August.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- Z10 - Other Special Topics - - Cultural Economics - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-12-05 (All new papers)
- NEP-CUL-2009-12-05 (Cultural Economics)
- NEP-TUR-2009-12-05 (Tourism Economics)
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