maine potato
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2013 ◽  
Vol 04 (02) ◽  
pp. 238-245 ◽  
Author(s):  
John M. Halloran ◽  
Robert P. Larkin ◽  
Sherri L. DeFauw ◽  
O. Modesto Olanya ◽  
Zhongqi He


2008 ◽  
Vol 7 (1) ◽  
pp. 1-7 ◽  
Author(s):  
John M. Halloran ◽  
Robert P. Larkin ◽  
C. Wayne Honeycutt


2005 ◽  
Vol 82 (2) ◽  
pp. 155-162 ◽  
Author(s):  
J. M. Halloran ◽  
T. S. Griffin ◽  
C. W. Honeycutt


2002 ◽  
Vol 17 (4) ◽  
pp. 159-166 ◽  
Author(s):  
C.R. Ziegler ◽  
F.A. Drummond ◽  
S.N. Smith ◽  
D.W. Donahue


1998 ◽  
Vol 13 (2) ◽  
pp. 91-100 ◽  
Author(s):  
Alden Hartke ◽  
Francis A. Drummond ◽  
Matt Liebman
Keyword(s):  


1991 ◽  
Vol 68 (6) ◽  
pp. 381-390 ◽  
Author(s):  
J. F. Guenthner ◽  
E. S. Plissey ◽  
A. E. Levi ◽  
L. D. Makus


1986 ◽  
Vol 5 (2) ◽  
pp. 167-173 ◽  
Author(s):  
R.L. Jones ◽  
J.L. Hansen ◽  
R.V. Rourke


1983 ◽  
Vol 12 (2) ◽  
pp. 122-122
Author(s):  
Paul Fackler

Forecasting models were developed for annual and monthly average price of Maine potatoes, using Crop Reporting Board data. Several approaches to the forecasting problem were explored, as were a number of statistical aids to model development and evaluation. Attention was focused on providing timely forecasts as data became available.Specifically, three models were developed. The first provided forecasts of the season average price. Attention here was placed on the selection of a subset of influential variables from a set of potentially important ones, as well as the detection of outliers and colinearities. These problems were especially significant given the small number of observations in the annual price series. Production data for five regions were deemed most influential.The other two models were developed to provide forecasts of the monthly average price from November through May. A modified ARIMA (0,1,0) (2,1,0) model was estimated and used to provide forecasts based on the price data series alone. An alternate model, using production levels from four regions, current stocks levels and a monthly trend variable (and, implicitly, lagged price), was also developed.Both monthly models provided current forecasts for each month remaining in the marketing season which were updated as new information became available. The second model, which incorporated more information, was deemed to provide somewhat more accurate forecasts, at all forecast distances, than the simpler ARIMA model, when compared over the 1977–1981 period.





1980 ◽  
Vol 9 (1) ◽  
pp. 51-61
Author(s):  
Jeff Sooy ◽  
Ben Branch

In an update and extension of prior work this study found that the potato futures markets continued to provide very unreliable forecasts of subsequent spot prices. On the other hand and contrary to some past studies an extensive study here failed to turn up any convincing evidence of a cobweb pricing relationship. Moreover the increasing volatility of potato futures prices in the more recent time period raises questions regarding their value as hedging vehicles. Finally it is argued that the market's efficiency might be improved by expanding the current Maine potato contract to permit delivery of round white potatoes grown outside Maine.



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