Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/174247
Authors: 
Landaluce Calvo, M. Isabel
Year of Publication: 
2016
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 22 [Year:] 2016 [Pages:] 55-77
Abstract (Translated): 
In this work we present an alternative approach to the usual graphics of time series for its comparative exploratory analysis. By having several time series measures in various contexts, we suggest its structure in multiple tables to study adequately their similarities and differences. The Multiple Factorial Analysis (MFA) is the technique that is selected as the most suitable for achieving the stated objectives, through their numerical measures and graphs. This approach of AFM is a novelty, since in other studies the time has been used as a criterion for structuring groups and not as statistical unit as discussed in this article. An empirical application from monthly data, of the last 10 years, relating to three indicators closely related to tourism, from the point of view of demand, and measured in seven national territories, makes evident the versatility and potential of the proposal.
Subjects: 
time series
factorial analysis
multiple tables
JEL: 
C38
Creative Commons License: 
https://creativecommons.org/licenses/by-sa/4.0/
Document Type: 
Article

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