Modelling the Employment in Tourism ¨C Case Study of Croatia

Maja Mamula and Kristina Duvnjak

International Journal of Business Administration, 2017, vol. 8, issue 3, 37-44

Abstract: According to the data on the share of employees in the category Hotels and similar accommodation in the total employees (16.6% in 2015), it can be concluded that this percentage share is quite significant. In this paper the number of employees in tourism (in the category Hotels and similar accommodation) is modelled and predicted on the basis of monthly data from the period 2005 to 2015, collected from the First Release of the Croatian Bureau of Statistics. Taking into consideration the seasonal character of the phenomenon being analysed, taking into account the criteria of reliability of demonstrated forecasts, in this study following methods were used: the seasonal naive models, Holt - Winters Model trend seasonality exponential smoothing and Holt- Winters no seasonal exponential smoothing model. All obtained results were compared by forecasting error Mean Absolute Percentage error (MAPE). The obtained results indicate that forecasting methods which take into account the seasonal character of the phenomenon result in smaller forecasting error, and more reliable estimate, compared to models which don¡ät take into account the character of the phenomenon being analysed.

Keywords: tourism; employment in tourism; seasonality; naive models; Holt-Winters model; forecasting errors (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:jfr:ijba11:v:8:y:2017:i:3:p:37-44

DOI: 10.5430/ijba.v8n3p37

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