The Biggest Myth in Spatial Econometrics
There is near universal agreement that estimates and inferences from spatial regression models are sensitive to particular specifications used for the spatial weight structure in these models. We find little theoretical basis for this commonly held belief, if estimates and inferences are based on th...
Main Authors: | James P. LeSage, R. Kelley Pace |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-12-01
|
Series: | Econometrics |
Subjects: | |
Online Access: | http://www.mdpi.com/2225-1146/2/4/217 |
Similar Items
-
Spatial and spatiotemporal econometrics : /
by: LeSage, James P., et al.
Published: (2004) -
Non-Iterative Multiscale Estimation for Spatial Autoregressive Geographically Weighted Regression Models
by: Shi-Jie Gao, et al.
Published: (2023-02-01) -
A spatial econometric study on effects of fiscal and financial supports for agriculture in China
by: Gao YUANDONG, et al.
Published: (2013-07-01) -
Mastering geographically weighted regression: key considerations for building a robust model
by: Behzad Kiani, et al.
Published: (2024-02-01) -
Analysis of Spatial Diffusion of Housing Price Changes in Iranian Provinces; Spatial Econometrics Approach
by: Reza Taleblou, et al.
Published: (2017-09-01)