Publication Type
Journal Article
Version
acceptedVersion
Publication Date
10-2017
Abstract
This article considers a simple test for the correct specification of linear spatial autoregressive models, assuming that the choice of the weight matrix Wn is true. We derive the limiting distributions of the test under the null hypothesis of correct specification and a sequence of local alternatives. We show that the test is free of nuisance parameters asymptotically under the null and prove the consistency of our test. To improve the finite sample performance of our test, we also propose a residual-based wild bootstrap and justify its asymptotic validity. We conduct a small set of Monte Carlo simulations to investigate the finite sample properties of our tests. Finally, we apply the test to two empirical datasets: the vote cast and the economic growth rate. We reject the linear spatial autoregressive model in the vote cast example but fail to reject it in the economic growth rate example. Supplementary materials for this article are available online.
Keywords
Generalized method of moments, Nonlinearity, Spatial autoregression, Spatial dependence, Specification test
Discipline
Econometrics
Research Areas
Econometrics
Publication
Journal of Business and Economic Statistics
Volume
35
Issue
4
First Page
572
Last Page
584
ISSN
0735-0015
Identifier
10.1080/07350015.2015.1102734
Publisher
Taylor & Francis
Citation
SU, Liangjun and QU, Xi.
Specification test for spatial autoregressive models. (2017). Journal of Business and Economic Statistics. 35, (4), 572-584.
Available at: https://ink.library.smu.edu.sg/soe_research/1685
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/07350015.2015.1102734