Description
About the Author
Badi H. Baltagi, Syracuse University, Syracuse, NY, USA James P. Lesage, Texas State University, San Marcos, TX, USA R. Kelley Pace, Louisiana State University, Baton Rouge, LA, USA
Reviews
Seven of the eleven papers in this collection explain how to estimate discrete dependent variables with spatial dependence using maximum likelihood and how to estimate binary and count dependent variables using Bayesian methods. A generic algorithm for numerically accurate likelihood evaluates spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The remaining four papers address continuous dependent variables for modeling group interaction in research, the spillover effects of public capital stock, government and industry impacts on innovation, and Boston housing data. -- Annotation (c)2017 * (protoview.com) *
Book Information
ISBN 9781785609862
Author Badi H. Baltagi
Format Hardback
Page Count 408
Imprint Emerald Group Publishing Limited
Publisher Emerald Publishing Limited
Weight(grams) 638g
Dimensions(mm) 229mm * 152mm * 31mm