Organic produce price forecasting at a farm level criteria, methods, and forecast evaluation /
Abstract (Summary)
Organic farmers, wholesalers, and retailers need price forecasts. A methodology and
protocol to select the best performing method from several time and frequency domain
candidates is suggested. Seasonal autoregression, the additive Holt-Winters exponential
smoothing, and spectral decomposition are considered. The forecasting methods are evaluated
on the basis of an aggregate accuracy measure and several out-of-sample predictive
ability tests. The seasonal autoregression is found to be broadly the best performing method.
The Holt-Winters method provides better forecasts in the short run; spectral decomposition
is preferable for more distant periods. The price-generating process is found to have a
strong autoregressive component and a clear but simple seasonal pattern. The role of better
price forecasts for the agents who deal in less common organic produce is highlighted. A
confirmation for the claim that the organic produce industry needs better farmgate price
forecasts to grow is provided. Contracting and diversification are suggested.
Index words: Organic produce, Price forecasting, ARMA, Exponential smoothing,
Spectral decomposition, Forecast Evaluation
Organic Produce Price Forecasting at a Farm Level:
Criteria, Methods, and Forecast Evaluation
by
Tatiana Gubanova
B.A., Petrozavodsk State University, Russia, 1999
Kandidat nauk, Institute of Economics KarRC RAS, Russia, 2002
A Thesis Submitted to the Graduate Faculty
of The University of Georgia in Partial Fulfillment
of the
Requirements for the Degree
Master of Science
Athens, Georgia
2005
c? 2005
Tatiana Gubanova
All Rights Reserved
Organic Produce Price Forecasting at a Farm Level:
Criteria, Methods, and Forecast Evaluation
by
Tatiana Gubanova
Approved:
Major Professors:
Committee:
Luanne Lohr
Timothy A. Park
Glenn C.W. Ames
Michael E. Wetzstein
Electronic Version Approved:
Maureen Grasso
Dean of the Graduate School
The University of Georgia
May 2005
Bibliographical Information:
Advisor:
School:The University of Georgia
School Location:USA - Georgia
Source Type:Master's Thesis
Keywords:
ISBN:
Date of Publication: