Maine potato grade-out survey — Week of March 28 – April 2, 1955

1955 ◽  
Vol 32 (4) ◽  
pp. 157-157
Keyword(s):  
Maine Potato

The ecological economics of insecticide use associated with the Maine potato industry, based on a producer survey

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

Maine potato farms—Size and number

1978 ◽  
Vol 55 (6) ◽  
pp. 359-367
Author(s):  
Edward F. Johnston
Keyword(s):  
Maine Potato

scholarly journals Economic Potential of Compost Amendment as an Alternative to Irrigation in Maine Potato Production Systems

2013 ◽  
Vol 04 (02) ◽  
pp. 238-245 ◽  
Author(s):  
John M. Halloran ◽  
Robert P. Larkin ◽  
Sherri L. DeFauw ◽  
O. Modesto Olanya ◽  
Zhongqi He
Keyword(s):  
Production Systems ◽  
Potato Production ◽  
Economic Potential ◽  
Compost Amendment ◽  
Maine Potato

scholarly journals A Comparison of Marketing Strategies for Potatoes in Upstate New York

1978 ◽  
Vol 7 (2) ◽  
pp. 57-62
Author(s):  
Ralph Young ◽  
William G. Tomek
Keyword(s):  
New York ◽  
Marketing Strategies ◽  
Futures Contracts ◽  
Price Forecasting ◽  
Agricultural Marketing ◽  
Upstate New York ◽  
Potential Benefits ◽  
Mean And Variance ◽  
Portfolio Approach ◽  
Maine Potato

A long-standing problem in agricultural marketing is the question of “optimal” marketing patterns for a seasonally produced crop. When futures markets exist, agricultural economists have often recommended their use to improve marketing decisions, but farmer use of futures as an aid to marketing is not common. This paper considers the potential benefits to upstate New York farmers of hedging using Maine potato futures contracts. Benefits are defined in terms of the mean and variance of returns from alternative marketing strategies for potatoes. A portfolio approach is implicit in the analysis which also relies, in part, on the formulation of a simple price-forecasting model.

scholarly journals The impact of the mandatory seed law on Maine potato acreage, yield and price

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

The Economic Impacts of Disease Suppressive Rotations in Maine Potato Cropping Systems

2008 ◽  
Vol 7 (1) ◽  
pp. 1-7 ◽  
Author(s):  
John M. Halloran ◽  
Robert P. Larkin ◽  
C. Wayne Honeycutt
Keyword(s):  
Cropping Systems ◽  
Economic Impacts ◽  
Maine Potato

Forecasting Maine Potato Prices

1983 ◽  
Vol 12 (2) ◽  
pp. 122-122
Author(s):  
Paul Fackler
Keyword(s):  
Arima Model ◽  
Model Development ◽  
Data Series ◽  
Average Price ◽  
Monthly Average ◽  
Price Series ◽  
New Information ◽  
Marketing Season ◽  
Alternate Model ◽  
Maine Potato

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.

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