This paper addresses changes in capital formation by testing the importance of location factors with respect to the rate of establishment births and deaths in U.S. manufacturing, 2000–2004. A theoretical concept called “localized creative destruction” is tested as a mechanism to explain...

Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to...

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 compares two estimation methods of a three-stage least squares (3SLS) system of equations, corrected for spatial autocorrelation. The modeling approach is novel in that it is an extension of Anselin's (1988) seemingly unrelated regression (SUR) space-time spatial error model for panel...

This study used the 2005 ERS CEAP-ARMS data for corn production to first compare key operator, field, farm, economic, and environmental characteristics of conservation program participants with non-participants, by farm-size class. We then estimate a cost-function based technology adoption model...

Attracting manufacturing investment remains a viable regional development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the dynamics of firm death and the possible...