Premium
Sequential Adoption of Package Technologies: The Dynamics of Stacked Trait Corn Adoption
Author(s) -
Aldana Ursula,
Foltz Jeremy D.,
Barham Bradford L.,
Useche Pilar
Publication year - 2011
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.1093/ajae/aaq112
Subject(s) - trait , bayesian probability , measure (data warehouse) , work (physics) , parametric statistics , dynamics (music) , econometrics , estimation , human capital , marketing , computer science , business , statistics , economics , mathematics , psychology , engineering , database , mechanical engineering , management , programming language , economic growth , pedagogy
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 varieties. We then develop a semi‐parametric panel data estimation to measure the effects of experience on the adoption of stacked varieties. The results underscore the importance of early experience in the subsequent adoption of stacked varieties. There is also evidence that farmers with more human capital learn faster and that, as time evolves, the importance of early experience decreases.