Forecast distributions based on historical yields and subjective expectations for 1987 expected crop yields were compared for 90 Western Kentucky grain farms. Different subjective probability elicitation techniques were also compared. In many individual cases, results indicate large differences between subjective and empirical moments. Overall, farmer expectations for 1987 corn yields were below those predicted from their past yields, while soybean expectations were above the historical forecast. Geographical location plays a larger role than crop in comparisons of relative variability of yield. Neither elicitation technique nor manager characteristics have significant effects on the comparisons of the forecasts
318 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.Considerable disagreement exi...
Using survey data from 258 Illinois corn farmers, we investigate the relationship between subjective...
County crop yield data from United States Department of Agriculture - National Agricultural Statisti...
Forecast distributions based on historical yields and subjective expectations for 1987 expected crop...
Forecast distributions based on historical yields problems associated with such aggregate data and s...
This study examines the relationship between subjective yield distributions elicited from Kentucky f...
Using survey responses of Illinois corn farmers to differently framed yield questions, we examine th...
In the research area of crop yield density estimation and in particular in risk analysis, little emp...
There has been considerable debate regarding which probability distribution best represents crop yie...
Actual farm records were used to evaluate variation of crop yields for corn, wheat, and soybeans gro...
Six popular crop yield distributions are compared to determine which best describes yield fluctuatio...
Traditionally, agricultural forecasts, whether for the coming year or several years into the future,...
Crop yields vary due to soil type. Expected crop yields are reported in published soil surveys based...
Using survey data from 258 Illinois corn farmers, we investigate the relationship between subjective...
The purpose of this research is to compare and analyze several different yield forecasting methods. ...
318 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.Considerable disagreement exi...
Using survey data from 258 Illinois corn farmers, we investigate the relationship between subjective...
County crop yield data from United States Department of Agriculture - National Agricultural Statisti...
Forecast distributions based on historical yields and subjective expectations for 1987 expected crop...
Forecast distributions based on historical yields problems associated with such aggregate data and s...
This study examines the relationship between subjective yield distributions elicited from Kentucky f...
Using survey responses of Illinois corn farmers to differently framed yield questions, we examine th...
In the research area of crop yield density estimation and in particular in risk analysis, little emp...
There has been considerable debate regarding which probability distribution best represents crop yie...
Actual farm records were used to evaluate variation of crop yields for corn, wheat, and soybeans gro...
Six popular crop yield distributions are compared to determine which best describes yield fluctuatio...
Traditionally, agricultural forecasts, whether for the coming year or several years into the future,...
Crop yields vary due to soil type. Expected crop yields are reported in published soil surveys based...
Using survey data from 258 Illinois corn farmers, we investigate the relationship between subjective...
The purpose of this research is to compare and analyze several different yield forecasting methods. ...
318 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.Considerable disagreement exi...
Using survey data from 258 Illinois corn farmers, we investigate the relationship between subjective...
County crop yield data from United States Department of Agriculture - National Agricultural Statisti...