Most, if not all, production technologies are stochastic. This article demonstrates how data envelopment analysis (DEA) methods can be adapted to accommodate stochastic elements in a state-contingent setting. Specifically, we show how observations on a random input, not under the control of the...

Latent demand models can be used to overcome computational difficulties that frequently hamper empirical evaluation of relatedness in the adoption of multiple technologies. This paper develops and applies such an approach to a case involving agricultural soil and water conservation. The results...

In Europe, in addition to public opposition to genetically modified food, the slow pace of development in agricultural and food biotechnology has been attributed to the lack of basic preconditions for commercial and innovative activities. The role and justification of a significant degree of...