Genetically modified corn seed companies have innovated continuously with the introduction of new traits and, more recently, with the creation of stacked varieties. This work develops a Bayesian model of adoption that demonstrates how uncertainty with a package technology can lead to a...

Genetically modified corn seed companies have recently created stacked varieties which combine more than one trait. This work develops a Bayesian model that demonstrates how uncertainty with a package technology can lead to an adoption pattern in which farmers move from single trait to stacked...

GM corn seed companies have innovated continuously with the introduction of new traits and, more recently, with the creation of stacked varieties, which combine more than one trait. This work develops a Bayesian model of adoption dynamics that demonstrates how uncertainty with a package...

Advances in the genetic modification of agricultural seeds have allowed a range of new opportunities for manipulating seed traits according to production, market and environmental concerns. As seed varieties continue to become increasingly differentiated, preferences for specific seed traits may...

This work offers a new approach to the adoption of GM crop varieties by adopting the econometric methodology of the characteristics-based demand literature. A random utility framework was implemented through different specifications of a conditional (CL) and a mixed multinomial logit (MMNL)...

This article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent genetically modified corn adoption data from Minnesota and Wisconsin...