METHODOLOGICAL APPROACHES IN ANALYZING THE STRENGTH OF SEASONALITY IN TOURISM TIME SERIES

Marius Ionuț Gordan, Tabita Cornelia Adamov, Ioana Anda Milin, Anka Roxana Pascariu, Tiberiu Iancu

Abstract


This paper investigates methodological strategies for analyzing seasonality in tourism time series, employing advanced methods such as Seasonal-Trend decomposition using Loess (STL), the GINI index, seasonality index and other methods. Through those approaches, researchers can unravel complex temporal patterns in tourism time series data. STL decomposition can be applied to time series data, revealing trend, seasonal, and residual components. The GINI index measures distributional inequality of tourism activity across seasons, while the seasonality index quantifies the intensity of fluctuations between quarters or months of high and low season.


Keywords


seasonality in tourism; fluctuations in tourism arrivals; seasonality of time series

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References


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Copyright (c) 2024 Marius Ionuț Gordan, Tabita Cornelia Adamov, Ioana Anda Milin, Anka Roxana Pascariu, Tiberiu Iancu

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LUCRĂRI ȘTIINȚIFICE MANAGEMENT AGRICOL

ISSN print 1453-1410
ISSN online 2069-2307
(former ISSN 1453-1410, E-ISSN 2069-2307)

PUBLISHER: AGROPRINT Timisoara, Romania
PAPER ACCESS: Full text articles available for free
FREQUENCY: Annual
PUBLICATION LANGUAGE: English

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Banat`s University of Agricultural Sciences and Veterinary Medicine “King Michael I of Romania” from Timisoara
Faculty of Management and Rural Tourism
300645, Timisoara, Calea Aradului 119, Romania

E-mail: tabitaadamov2003 [at] yahoo.com
Phone: +40-256-277439, Fax.: +40-256-277031