A comparison of selected methods for forecasting monthly alfalfa hay prices

Article Abstract:

The scarcity of alfalfa hay production and marketing data has made price forecasting difficult. Nine forecasting techniques, classical decompostion, exponential smoothing, univariate stochastic model, regression, bivariate stochastic model, vector autoregression model (unrestricted, Bayesian framework and full) and structurally based system model, were used on California alfalfa hay price (average, dollar per ton, baled) data and evaluated. It was determined that as out-of-sample horizon expanded forecasting accuracy declined and the simpler techniques were more accurate.

Prepared feeds, not elsewhere classified, Evaluation, Forecasts and trends, Forecasting, Alfalfa

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Case study research methods for firm and market research

Article Abstract:

A well-designed and well-executed case study research constitutes good science. To ensure that a case study is good research, a standard of process rigor must be applied in the design and execution. Among the important elements of this process rigor are the identification of the intent of the case, care in collecting and analyzing data, analytical aids for qualitative data, logical construction of the paper and limitations and questions for further research.

Methods, Analysis, Management, Methodology, Research methods, Market surveys

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Sticky short-run prices and vertical pricing: evidence from the market for iceberg lettuce

Article Abstract:

Whosale prices of iceberg lettuce are dependent on the free-on-board shipping (FOB) point price. When FOB point price changes, wholesale prices of iceberg lettuce uniformly adjust to such changes. Retail prices, on the other hand, asjust more slowly to FOB and whosale price changes. Research shows that retailers stabilize their short-run prices by absorbing FOB and whosale price increases.

Vegetables and melons, Other Vegetable (except Potato) and Melon Farming, Lettuce, Pricing

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