id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-162105-u0w56xrp	Centeno, Raffy S.	How much did the Tourism Industry Lost? Estimating Earning Loss of Tourism in the Philippines	2020-04-21		.txt	text/plain	3562	219	59	Based on the Akaike's Information Criterion (AIC) and Root Mean Squared Error, ARIMA(1,1,1)$times$(1,0,1)$_{12}$ was identified to be the better model among the others with an AIC value of $-414.51$ and RMSE of $47884.85$. The objective of this research is to forecast the monthly earnings loss of the tourism industry during the COVID-19 pandemic by forecasting the monthly foreign visitor arrivals using Seasonal Autoregressive Integrated Moving Average. These patterns suggest a seasonal autoregressive integrated moving average (SARIMA) approach in modeling and forecasting the monthly foreign visitor arrivals in the Philippines. Akaike Information Criterion and Root Mean Squared Error were used to identify which model was used to model and forecast the monthly foreign visitor arrivals in the Philippines. 1. The order of SARIMA model used to forecast the monthly foreign visitor arrival is ARIMA (1,1,1)×(1,0,1) 12 since it produced a relatively low AIC of −414.51 and the lowest RMSE of 47884.85 using an out-of-sample data.	./cache/cord-162105-u0w56xrp.txt	./txt/cord-162105-u0w56xrp.txt