Winsorització de la despesa turística a Catalunya

The tourism sector is given high priority by the Catalan Statistical Office (Idescat) both regarding theoretical developments and production of statistical data. In this context, tourism expenditure can be regarded as a key strategic variable when it comes to assessing such important issues as the i...

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Detalles Bibliográficos
Autores: Sáez i Zafra, Marc, Barceló, Maria Antónia, Saurina Canals, María del Carmen, Coenders, Germà
Tipo de recurso: artículo
Fecha de publicación:2000
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:español
OAI Identifier:oai:upcommons.upc.edu:2099/4127
Acceso en línea:https://hdl.handle.net/2099/4127
Access Level:acceso abierto
Palabra clave:Inference
Winsorització
Mathematical economics
Regressió robusta
Jackknife
Valors atípics
Dades mancants
Despesa turística
Inferència
Matemàtica financera
Classificació AMS::62 Statistics::62G Nonparametric inference
Classificació AMS::91 Game theory, economics, social and behavioral sciences::91B Mathematical economics
Descripción
Sumario:The tourism sector is given high priority by the Catalan Statistical Office (Idescat) both regarding theoretical developments and production of statistical data. In this context, tourism expenditure can be regarded as a key strategic variable when it comes to assessing such important issues as the impact of tourism on economic growth and satellite accounting of the tourism sector. The Idescat is therefore committed in the development of methodological improvements in the field. In this article a method is suggested to impute missing data and to correct systematic errors in surveys measuring tourism expenditure. The complexity of tourism expenditure makes systematic errors to consist mainly in underreporting. The suggested method consists in asymmetrically windsorizing the residuals for daily expenditure per person in a regression model that uses the characteristics of the trip as predictor. Estimation is done iteratively with a variant of the EM algorithm. Standard errors are computed by means of the jackknife resampling method. The procedure is illustrated with data on trips to Catalonia made by Catalans, other citizens of Spain and foreigners during 1998.