In 1944, Marschak and Andrews published a seminal paper on how to obtain consistent estimates of a production technology. The original formulation of the econometric model regarded the joint estimation of the production function together with the first-order necessary conditions for...

Fisheries throughout the world have long been subject to overfishing and excess capacity, which has generated substantial and increasing concern about biological and economic performance ramifications. These problems in part stem from substantial investment in technical improvements to boats and...

We use data from a 2001 survey of Great Plains farmers to explore the adoption, usage patterns, and perceived benefits of computers and the Internet. Our adoption results suggest that exposure to the technology through college, outside employment, friends, and family is ultimately more...

This paper reviews 40 years of tortured history of the Consultative Group on International Agricultural Research’s (CGIAR) attempts at structural reform. Yet the basic structure of independent centers created in the 1960’ and 70’s remains in place despite repeated attempts to restructure...

The studys overall goal is to create a framework for assessing the trends of China's national and international investment in agricultural research and to measure its impact on total factor productivity. The main methodological contribution is to provide more convincing measures of crop-specific...

A test of the adding up condition in demand systems is crucial for determining whether a share format is admissible when the number of sample goods is smaller than the number of commodity choices available to consumers. This test requires the estimation of a demand system in a quantity format....

This paper considers the estimation and testing of demand systems when the number of sample goods is smaller than the number of commodity choices available to consumers. In this case, the demand system is incomplete. The large majority of papers that appeared in the literature specifies and...

The Maximum Likelihood method estimates the parameter values of a statistical model that maximize the corresponding likelihood function, given the sample information. This is the primal approach that, in this paper, is presented as a mathematical programming specification whose solution requires...