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| Hamm, Lonnie; Brorsen, B. Wade. |
| Neural network models were compared to traditional forecasting methods in forecasting the quarterly and monthly farm price of hogs. A quarterly neural network model forecasted poorly in comparison to a quarterly econometric model. A monthly neural network model outperformed a monthly ARIMA model with respect to the mean square error criterion and performed similarly to the ARIMA model with respect to turning point accuracy. The more positive results of the monthly neural network model in comparison to the quarterly neural network model may be due to nonlinearities in the monthly data which are not in the quarterly data. |
| Tipo: Journal Article |
Palavras-chave: Forecasting; Hog prices; Neural networks; ARIMA; Econometric; Agribusiness; Livestock Production/Industries. |
| Ano: 1997 |
URL: http://purl.umn.edu/90646 |
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| Antonopoulou, Lina; Papadas, Christos T.; Targoutzidis, Antonis. |
| This survey-based paper investigates the impact of socio-demographic factors, along with political perceptions, as expressed by attitudes towards globalization, on consumer attitudes towards GM foods, in Greece. Different aspects of consumer attitudes regarding GM foods are examined, such as general preference, banning, labeling, intention to purchase them at a sufficiently low price, the nutritional category of food product and the proximity of the genetic modification to the final product. Econometric analysis using Logit and Probit models was conducted. Estimates clearly show that in general, attitudes towards GM foods are not affected by socio-demographic characteristics. However, political perceptions are a significant influential factor. |
| Tipo: Journal Article |
Palavras-chave: Globalization; Political; Genetically modified food; Econometric; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; D12; M31; R22. |
| Ano: 2009 |
URL: http://purl.umn.edu/58062 |
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