TY - JOUR
T1 - Count-data regression models of the time to adopt new technologies
AU - McWilliams, Bruce
AU - Tsur, Yacov
AU - Hochman, Eithan
AU - Zilberman, David
PY - 1998
Y1 - 1998
N2 - This paper presents a framework for interpreting and using the count-data model for estimating the time of technology adoption. The Bernoulli trials of the negative binomial model are interpreted as the stages involved in a potential adopter learning and updating information relevant to a new technology. Empirically, the paper estimates the Poisson, the generalized negative binomial, and the geometric models in order to identify the determinants of computer adoption on farms in California.
AB - This paper presents a framework for interpreting and using the count-data model for estimating the time of technology adoption. The Bernoulli trials of the negative binomial model are interpreted as the stages involved in a potential adopter learning and updating information relevant to a new technology. Empirically, the paper estimates the Poisson, the generalized negative binomial, and the geometric models in order to identify the determinants of computer adoption on farms in California.
UR - http://www.scopus.com/inward/record.url?scp=0013095607&partnerID=8YFLogxK
U2 - 10.1080/135048598354744
DO - 10.1080/135048598354744
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AN - SCOPUS:0013095607
SN - 1350-4851
VL - 5
SP - 369
EP - 373
JO - Applied Economics Letters
JF - Applied Economics Letters
IS - 6
ER -