The University of Southampton
University of Southampton Institutional Repository

Monthly, annual and quarterly frequencies: a comparison of models for tourism in Sardinia and bounded rationality

Record type: Monograph (Discussion Paper)

This paper constructs and estimates the demand for international tourism for the Italian Province of Sassari. The sample period under estimation is from 1972 to 1995. Three dynamic models are estimated at monthly, annual and quarterly data frequencies. Similarities and differences are explored amongst the three models, using recently developed econometric techniques. A "pre-modelling" data analysis is undertaken for the economic series of interest. By adopting the LSE "general-to-specific" methodology, dynamic estimations are run. A full range of diagnostic tests is provided. Short and long run income elasticities, negativity and substitutability are tested on the light of economic theory. On balance, evidence is found that the monthly and quarterly models present homogenous results in terms of seasonal and long run unit roots. Annual data show different and perhaps misleading results.

PDF 0206.pdf - Other
Download (208kB)

Citation

Pulina, M. and O'Brien, R.J. (2002) Monthly, annual and quarterly frequencies: a comparison of models for tourism in Sardinia and bounded rationality , Southampton University of Southampton (Discussion Papers in Economics and Econometrics, 206).

More information

Published date: 2002

Identifiers

Local EPrints ID: 33378
URI: http://eprints.soton.ac.uk/id/eprint/33378
PURE UUID: c9d3ff1f-ae02-4b4c-8281-40712a8b1a80

Catalogue record

Date deposited: 18 May 2006
Last modified: 17 Jul 2017 15:53

Export record

Contributors

Author: M. Pulina
Author: R.J. O'Brien

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×