Showing 1 - 9 of 9
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...
Persistent link: https://www.econbiz.de/10009020799
This paper investigates nonlinearity in parametric spatial process models that incorporate regime-switching by means of a smooth transition autoregressive process. We derive a Lagrange Multiplier (LM) test for nonlinearity as well as several joint LM tests for nonlinearity and the traditional...
Persistent link: https://www.econbiz.de/10011117432
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...
Persistent link: https://www.econbiz.de/10009446067
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...
Persistent link: https://www.econbiz.de/10009429435
Attracting manufacturing investment is a frequently used rural 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 interaction of birth and death of...
Persistent link: https://www.econbiz.de/10005012663
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...
Persistent link: https://www.econbiz.de/10008533241
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...
Persistent link: https://www.econbiz.de/10008498081
This research note documents estimation procedures and results for an empirical investigation of the performance of the recently developed spatial, heteroskedasticity and autocorrelation consistent (HAC) covariance estimator calibrated with different kernel bandwidths. The empirical example is...
Persistent link: https://www.econbiz.de/10005704661
Persistent link: https://www.econbiz.de/10008417918