Forecasting Quarterly Sales Tax Revenues: A Comparative Study
Description:
The purpose of this study is to determine which of three forecasting methods provides the most accurate short-term forecasts, in terms of absolute and mean absolute percentage error, for a unique set of data. The study applies three forecasting techniques--the Box-Jenkins or ARIMA method, cycle regression analysis, and multiple regression analysis--to quarterly sales tax revenue data. The final results show that, with varying success, each model identifies the direction of change in the future,…
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Date:
August 1986
Creator:
Renner, Nancy A. (Nancy Ann)
Partner:
UNT Libraries