Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
This thesis documents the design and result of a study on tourists’ length of stay in
Rome, as a function of age, season and several other factors. Two models are tested. An OLS
model is developed to examine relation between number of nights stayed in Rome and 15
factors. A binary logit model is developed and estimated to examine the assumed relationship
between the probability of staying longer than one week and the same 15 factors. Survey data
of Rome visitors collected by the Pragma and Doxa consulting firms are used in the analysis.
The results indicate that travelling by car and remote travel are important for staying longer
in Rome. Moreover, season, employment status, whether repeated visit, shopping
opportunities, good tourist information, package holiday and type of accommodation also
play a role for length of stay.
2014.
Length of stay, cross-section data, binary logit, OLS, Rome.