Researchers typically use rank ordered logit regression to analyze consumer preference data collected with Best-Worst Scaling (BWS) surveys. We propose a generalized rank ordered logit (GROL) model that accommodates scale and preference heterogeneity. Both the GROL and mixed rank ordered logit...

Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the...

Precision agricultural technology promises to move crop production closer to a manufacturing paradigm, but analysis of yield monitor, sensor and other spatial data has proven difficult because correlation among neighboring observations often violates the assumptions of classical statistical...

The objective of this study is to examine how factors such as government payments, soil productivity ratings, commodity selling price, corn and soybean production, and spatial attributes affect cash rental rates. Baseline estimates of the effects of government payments on cash rents are...

This paper analyzes the geographic distribution of “green energy” sector clustering in the lower 48 United States using recent developments in industry concentration analysis. Evidence suggests that the ten green energy subsectors and the aggregate of the firms comprising the green energy...

This research uses a sequence of hedonic housing price regressions to estimate open space amenity values. The iterative approach empirically identifies the range of distance over which open space affects housing values. After controlling for numerous other factors in the spatial hedonic model,...

Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the number of specific types of precision agriculture technologies adopted by cotton farmers. Particular attention is...