Gini's coefficient of mean difference as a measure of adoption speed: theoretical issues and empirical evidence from India
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This paper represents a variant on the empirical analysis of technological adoption by
Griliches. It follows up on previous research regarding the potential of the Gini coefficient
of mean difference as a distribution-free measure of adoption speed. A formal proof is
supplied for the derivation of an empirically workable definition of the Gini. Data regarding
the uptake of high-yielding wheat varieties in India are used to compare the performance of
the Gini relative to that of the logistic and Weibull adoption speed coefficients. The results
suggest that, for the purpose of ex-post analyses of monotonically increasing adoption
processes, use of the Gini in measuring adoption speed can result in a better explanation of
aggregate adoption behavior.