Count-data regression models of the time to adopt new technologies

Bruce McWilliams*, Yacov Tsur, Eithan Hochman, David Zilberman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)369-373
Number of pages5
JournalApplied Economics Letters
Volume5
Issue number6
DOIs
StatePublished - 1998

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