Determinants of individual tourist expenditure as a network: Empirical findings from Uruguay

Abstract This paper introduces the use of graphical models for assessing the determinants of individual tourist spending. These models have the advantage of synthesizing and visualizing the relationships occurring within large sets of random variables, through an easy to interpret output. To this end, individual data from a large official survey of international tourists in Uruguay are used. Symmetric conditional independence structures are first investigated. Then subgraphs of each expenditure item's neighbourhood are extracted in order to assess the impact of main effects and interactions through proportional ordinal logistic regression. Results highlight the marginal role of socio-demogr…

Comportamenti di spesa e profili dei turisti: alcune evidenze empiriche.

Una nota sul campionamento in Sicilia e Sardegna per l'analisi della mobilità: le probabilità di selezione e il processo di calibrazione

Distorsioni nel ricordo della spesa dei turisti: alcune evidenze empiriche

The paper presents some remarks about the distortion of survey data that occurs when tourists are asked to recall the amount of their expenditure for the holiday. The difference between the concepts of perceived expenditure and reminded expenditure is stressed through a review of the relevant literature. An econometric analysis of PRIN 2007 survey data is then presented, with the aim of estimating the personal characteristics of the respondents that are most likely to do errors in remembering their expenditure.

La calibrazione delle stime nell'indagine sul turismo incoming in Sicilia

A note on the calibration of the tourists mobility in Sicily and Sardinia

Short term Dynamics of tourist Arrivals: What do destination have in common?

This work aims to detect the common short term dynamics to yearly time series of 413 Italian tourist areas. We adopt the clustering technique of Abraham et al. (Scand J Stat. 30:581–595, 2003) who propose a two-stage method which fits the data by B-splines and partitions the estimated model coefficients using a k-means algorithm. The description of each cluster, which identifies a specific kind of dynamics, is made through simple descriptive cross tabulations in order to study how the location of the areas across the regions or their prevailing typology of tourism characterize each group.