Techniques for Forecasting Farm and Industrial Tractor Sales 780753
Various techniques are presented and evaluated for their ability to forecast equipment sales in the agricultural industry. The forecasting methods discussed include trend approximation, time series moving averages, exponential smoothing, Delphi Method, buyer intentions and econometric models. A model that predicts future sales for industrial tractors was presented including a 1978 forecast. Leading indicators for Industrial Tractor Sales were GNP construction dollars, index of prices of construction machinery and new housing starts. Also, a farm tractor sales model and the resulting difficulty in finding leading indicators were discussed. Statistical methods required for econometric forecasting and model validity testing are given.
Citation: Krutz, G., Doster, D., and Moyer, J., "Techniques for Forecasting Farm and Industrial Tractor Sales," SAE Technical Paper 780753, 1978, https://doi.org/10.4271/780753. Download Citation
Author(s):
Gary W. Krutz, D. H. Doster, Jeff Moyer
Affiliated:
Agricultural Engrg. Dept. Purdue Univ. W. Lafayette, IN
Pages: 7
Event:
1978 SAE International Off-Highway and Powerplant Congress and Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
SAE 1978 Transactions-V87-A
Related Topics:
Agricultural vehicles and equipment
Construction vehicles and equipment
Statistical analysis
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