Spatial Econometrics: Qualitative and Limited Dependent Variables

Author:   Badi H. Baltagi (Syracuse University, USA) ,  James P. LeSage (Texas State University - San Marcos, USA) ,  R. Kelley Pace (Louisiana State University, USA) ,  Ivan Jeliazkov
Publisher:   Emerald Publishing Limited
Volume:   37
ISBN:  

9781785609862


Pages:   408
Publication Date:   08 December 2016
Format:   Hardback
Availability:   In Print   Availability explained
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Spatial Econometrics: Qualitative and Limited Dependent Variables


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Overview

Advances in Econometrics is a research annual whose editorial policy is to publish original research articles that contain enough details so that economists and econometricians who are not experts in the topics will find them accessible and useful in their research. Volume 37 exemplifies this focus by highlighting key research from new developments in econometrics.

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Author:   Badi H. Baltagi (Syracuse University, USA) ,  James P. LeSage (Texas State University - San Marcos, USA) ,  R. Kelley Pace (Louisiana State University, USA) ,  Ivan Jeliazkov
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Group Publishing Limited
Volume:   37
Dimensions:   Width: 15.20cm , Height: 3.10cm , Length: 22.90cm
Weight:   0.771kg
ISBN:  

9781785609862


ISBN 10:   1785609866
Pages:   408
Publication Date:   08 December 2016
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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. Distributed in North America by Turpin Distribution. -- Annotation (c)2017 (protoview.com)


Author Information

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

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