The Biggest Myth in Spatial Econometrics

Date

2014-12

Authors

LeSage, James P.
Pace, R. Kelley

Journal Title

Journal ISSN

Volume Title

Publisher

Multidisciplinary Digital Publishing Institute

Abstract

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 the true partial derivatives for a well-specified spatial regression model. We conclude that this myth may have arisen from past applied work that incorrectly interpreted the model coefficients as if they were partial derivatives, or from use of misspecified models.

Description

Keywords

indirect effects, spatial regression estimates, sensitivity to spatial weights

Citation

LeSage, J. P., & Pace, R. K. (2014). The biggest myth in spatial econometrics. Econometrics, 2(4), pp. 217-249.

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© 2014 The Authors.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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