9780986342103-0986342106-Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL

Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL

ISBN-13: 9780986342103
ISBN-10: 0986342106
Author: Luc Anselin, Sergio J. Rey
Publication date: 2014
Publisher: GeoDa Press LLC
Format: Paperback 394 pages
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Book details

ISBN-13: 9780986342103
ISBN-10: 0986342106
Author: Luc Anselin, Sergio J. Rey
Publication date: 2014
Publisher: GeoDa Press LLC
Format: Paperback 394 pages

Summary

Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL (ISBN-13: 9780986342103 and ISBN-10: 0986342106), written by authors Luc Anselin, Sergio J. Rey, was published by GeoDa Press LLC in 2014. With an overall rating of 3.9 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL (Paperback) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $20.98.

Description

This book is the definitive user’s guide to the spatial regression functionality in the software packages GeoDa and GeoDaSpace, as well as the spreg module in the PySAL library –-all developed at the GeoDa Center for Geospatial Analysis and Computation. The book provides the techniques to test for and estimate spatial effects in linear regression models, addressing both spatial dependence (spatial autoregressive models) as well as spatial heterogeneity (spatial regimes models). The book also serves as an introduction and a practical guide to spatial econometrics in that it covers the methodological principles and formal results that underlie the various estimation methods, test procedures and model characteristics computed by the software. While the classical maximum likelihood estimation is included, the book’s coverage emphasizes modern techniques based on the principle of generalized method of moments (GMM).

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