Bộ sách luyện thi ETS 2023 LC&RC
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Sách keo gáy, bìa mềm
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® 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models—including some previously unpublished results.
Thể loại:Engineering
Content Type:Sách
Năm:2009
In lần thứ:1
Ngôn ngữ:english
Trang:332
