Forecasting of the Waste Generation in Jordan: Alternative Econometric Approaches

Abstract

The main purpose of the article is to predict the household waste generation in Jordan in the short-run using alternative methods and explain factors highly likely impacting its generation. The results of comparative analysis made by three methods – regression technique, time series modelling and the annual growth rate method – are provided. The results of time series approach take a compromised position between the other ones. It is concluded that time series modelling with the help of ARIMA(0,1,0) with drift is more reliable for the short-run forecasting of the waste generation in Jordan while the regression is more suitable for explaining the effect of input variables on an outcome.