Introduction to Spatial Econometrics (Statistics PDF ePub eBook

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Introduction to Spatial Econometrics (Statistics free pdf Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, "Introduction to Spatial Econometrics" presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. It explores a wide range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances. Leaders in this field, the authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. By presenting new methods, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The authors also examine the relationship between spatiotemporal processes and long-run equilibrium states that are characterized by simultaneous spatial dependence. MATLAB[registered] toolboxes useful for spatial econometric estimation are available on the authors' websites. This work covers spatial econometric modeling as well as numerous applied illustrations of the methods. It encompasses many recent advances in spatial econometric models - including some previously unpublished results.

About James Le Sage

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Details Book

Author : James Le Sage
Publisher : Chapman
Data Published : 26 December 2008
ISBN : 142006424X
EAN : 9781420064247
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 354 pages
Age + : 15 years
Language : English
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