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...

Off-farm employment has been an integral part of the emerging structure of production agriculture in the South. Government farm program payments, farm structure, and strong non-farm economy have important impact on labor allocation, farm and non-farm labor, decision of farm operators. The...

The relationship between appreciation of the exchange rate and employment is investigated in the period 1980-2008 for the United States. Previous literature has found a negative relationship, studying as channels of transmission the role of exports, substitution of factors of production, terms...

Farm operators and spouses have increasingly engaged in off-farm work in recent years. Many studies have analyzed the role of government payments; however, little is known about the impact of health insurance coverage. This study builds on previous literature by using copulas to test for...

Seafood processor preferences for hiring employees are explored in light of references, wages, and immigrant situations. The objectives of this study are to determine the relative importance of labor attributes, and to identify distinct clusters of processors in terms of preference for immigrant...

Most of the empirical literature in this area tends to analyze labor allocation decisions of economic agents using cross-sectional data. But such methods implicitly assume that model parameters are stable (constant) across firms and over time. The use of cross-sectional methods is therefore...

Precision agriculture and autosteer technology are, overall, profitable investments for farmers, as previous literature has established. However, what has not been investigated is whether or not farmers perceive these technologies as such. This research postulates that cotton farmers must see...