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...

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...

The identification of local soil variability caused by within-field differences of macronutrients and ecological features is of paramount importance for the effectiveness of precision agriculture. We present several spatial statistical and econometric techniques to capture local differences in...

This innovative book explores the adoption of energy-saving technologies and their impact on energy efficiency improvements. It contains a mix of theoretical and empirical contributions, and combines and compares economic and physical indicators to monitor and analyse trends in energy efficiency.

This innovative book explores the adoption of energy-saving technologies and their impact on energy efficiency improvements. It contains a mix of theoretical and empirical contributions, and combines and compares economic and physical indicators to monitor and analyse trends in energy efficiency.