Forecasting Inbound Tourists in Cambodia
Forecasting tourism demand is crucial for management decisions in the tourism sector. Estimating a vector autoregressive (VAR) model for monthly visitor arrivals disaggregated by three entry points in Cambodia for the years 2006–2015, I forecast the number of arrivals for years 2016 and 2017. The results show that the VAR model fits well with the data on visitor arrivals for each entry point. Ex post forecasting shows that the forecasts closely match the observed data for visitor arrivals, thereby supporting the forecasting accuracy of the VAR model. Visitor arrivals to Siem Reap and Phnom Penh airports are forecast to increase steadily in future periods, with varying fluctuations across months and origin countries of foreign tourists.
Keywords: Tourism demand, visitor arrivals, forecasting, VAR, Cambodia.
JEL classification: C53, L83, Z32
Please note that discussion papers are works in various stages of progress and most have not been edited and proofread and may contain errors of fact or judgment. Revised versions of these papers may subsequently appear in more formal publication series. The views expressed in this publication are those of the author(s). The IDE does not guarantee the accuracy of the data included and accepts no responsibility for any consequences arising from its use.