Tourism statistic data can is an important source for measuring touristic patterns. As this area became more and more dynamic with the globalisation process, business owners, business analysts, policy makers as well as researchers are highly interested in having accurate, reliable and diverse data on tourism in order to perform analysis. Seasonal adjustment presents a real challenge for all researchers that operate with data sources from tourism sector. Usage of time series presents both opportunities and may contribute to improvement of forecasting touristic specifics relaying on demand and supply side of seasonality phenomenon. However, seasonally adjusted data is viewed as major challenge for businesses operating in the touristic sector. The present research focuses on a methodology that includes monthly tourist data arrivals in Romania. The seasonal adjustment process is performed with JDemetra+, both considering and excluding calendar effect. JDemetra+ is the software officially recommended by Eurostat for seasonal adjustment, being tested extensively by many experts in the field, from various organisations. The seasonal adjustment process pointed out promising and qualitative results, as no Easter and trading days effect were present, suggesting effect of calendar omission from the process. Our obtained results showed up significantly better results for the 5 years series span. The similarities for TRAMO-SEATS and X13 obtained results indicate that in order to minimise sensitivity and choose correctly between the two packages, further revisions may be considered. This paper provides an excellent starting point for further research aimed at improving data on tourism. The methodology tested in this research can be further improved and applied on other data regarding tourism.
Butler R. W. (1994). Seasonality in Tourism: Issues and Problems. In A. V. Seaton (ed.) Tourism: the State of the Art. Chichester: Wiley & Sons.
Butler, R. W. (2001). Seasonality in Tourism: Issues and Implications. In T. Baum & S. Lundtorpe (Eds.). Seasonality in Tourism. Oxford: Pergamon.
Danubianu, M., Socaciu, T. & Barila, A. (2009). SOME ASPECTS OF DATA WAREHOUSING IN TOURISM INDUSTRY. The Annals of The “Ştefan cel Mare” University Suceava. Fascicle of The Faculty of Economics and Public Administration, Volume 9, No.1(9).
De Cantis, S., Ferrante, M. & Vaccina, F. (2011). Seasonal pattern and amplitude - A logical framework to analyse seasonality in tourism: An application to bed occupancy in Sicilian hotels. Tourism Economics. 17, pp. 655-675, doi: 10.5367/te.2011.0055.
Kusnets, S. (1933). Seasonal Variations in Industry and Trade. New York: National Bureau of Economic Research.
Mirica, A., Andrei, T., Dascălu, E. D., Rădulescu, G. I. M., & Glăvan, I. R. (2016). REVISION POLICY OF SEASONALLY ADJUSTED SERIES–CASE STUDY ON ROMANIAN QUARTERLY GDP. ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 50(3), 45-62.
Panyik, E. & Zaharia, M. (2014). A COMPARATIVE ANALYSIS OF FOREIGN TOURIST ARRIVALS IN PORTUGAL AND ROMANIA 2004-2014. Journal of tourism – studies and research in tourism, Issue 17.
Pegg, S., Patterson, I. & Vila Gariddo, P. (2012). The impact of seasonality on tourism and hospitality operations in the alpine region of New South Wales, Australia. International Journal of Hospitality Management - INT J HOSP MANAG, 31, doi: 10.1016/j.ijhm.2011.09.001.
Rodrigues, P.M.M., & Gouveia, P.M.D.C.B. (2004). An application of PAR models for tourism Forecasting. Tourism Economics, Vol 10, pp 281–303.
Shen, S., Li, G. & Song, H. (2009). Effect of seasonality treatment on the forecasting performance of tourism demand models?. Tourism Economics, pp. 693-708.
Toma, I. E., & Mirica, A. (2018). Using Statistical Data to Better Understand Business Environment-Case Study on Export and Import Data at County Level. Romanian Statistical Review, (2).
Toma, I. E., Mirica, A., & PĂUNICĂ, M. (2018). Seasonal Adjustment of the Industrial Production Index for Romania-An Innovative Approach Using JDemetra+ 2.1. Romanian Statistical Review, (4).
UNSD, (2010). Seasonal Adjustment and Time Series Issues. Workshop on Manufacturing Statististics for ECLAC member states, Santiago.
Wöber, K.W. (2000). Standardizing City Tourism Statistics. Annals of Tourism, Research 27, 1, 51-68.
Yang, X., Pan, B., Evans, J. A., & Lv, B. (2015). Forecasting Chinese tourist volume with search engine data. Tourism Management, 46, 386–397.