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A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers AgEcon
Banerjee, Swagata (Ban); Martin, Steven W.; Roberts, Roland K.; Larkin, Sherry L.; Larson, James A.; Paxton, Kenneth W.; English, Burton C.; Marra, Michele C.; Reeves, Jeanne M..
Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming practices and had used computers for farm management. In addition, younger and more affluent farmers were more likely to adopt. Farmers with larger farms and with relatively high yields were also more likely to adopt. Education was not a significant factor in a farmer’s decision to adopt GPS guidance systems.
Tipo: Journal Article Palavras-chave: Binary logit; Cotton; GPS guidance system; Marginal effect; Precision farming; Technology adoption; Agribusiness; Crop Production/Industries; Q2; Q16; Q19; Q20; Q24.
Ano: 2008 URL: http://purl.umn.edu/45530
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Simplified Marginal Effects in Discrete Choice Models AgEcon
Anderson, Soren T.; Newell, Richard G..
We show that after a simple normalization of explanatory variables so that they equal zero at some desired reference point, marginal effects for continuous variables in probit and logit models simplify dramatically, becoming a function of only the estimated constant term. We present similar simplifications for computation of the asymptotic variance of marginal effects, as well as for the effects of dummy variables on predicted probabilities. We provide a simple table, which in combination with raw probit or logit estimates, is all one needs to compute the desired effects.
Tipo: Working or Discussion Paper Palavras-chave: Logit; Probit; Discrete choice; Binary choice; Marginal effect; Data normalization; Research Methods/ Statistical Methods; C25; C51; C81.
Ano: 2003 URL: http://purl.umn.edu/10631
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