Improved tests for spatial correlation
Improved tests for spatial correlation
We consider testing the null hypothesis of no spatial autocorrelation against the alternative of first order spatial autoregression. A Wald test statistic has good first order asymptotic properties, but these may not be relevant in small or moderate-sized samples, especially as (depending on properties of the spatial weight matrix) the usual parametric rate of convergence may not be attained. We thus develop tests with more accurate size properties, by means of Edgeworth expansions and the bootstrap. The finite-sample performance of the tests is examined in Monte Carlo simulations.
Munich Personal RePEc Archive
Robinson, Peter M.
edc1b0dd-75cb-47f4-8839-f21e5904b23a
Rossi, Francesca
1cdd87b3-bc01-40b0-ad91-0db0ee24e8e0
June 2012
Robinson, Peter M.
edc1b0dd-75cb-47f4-8839-f21e5904b23a
Rossi, Francesca
1cdd87b3-bc01-40b0-ad91-0db0ee24e8e0
Robinson, Peter M. and Rossi, Francesca
(2012)
Improved tests for spatial correlation
(Munich Personal RePEc Archive (MPRA) Paper, 41835)
Munich, Germany.
Munich Personal RePEc Archive
31pp.
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Monograph
(Working Paper)
Abstract
We consider testing the null hypothesis of no spatial autocorrelation against the alternative of first order spatial autoregression. A Wald test statistic has good first order asymptotic properties, but these may not be relevant in small or moderate-sized samples, especially as (depending on properties of the spatial weight matrix) the usual parametric rate of convergence may not be attained. We thus develop tests with more accurate size properties, by means of Edgeworth expansions and the bootstrap. The finite-sample performance of the tests is examined in Monte Carlo simulations.
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MPRA_paper_41835.pdf
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Published date: June 2012
Organisations:
Economics
Identifiers
Local EPrints ID: 343822
URI: http://eprints.soton.ac.uk/id/eprint/343822
PURE UUID: 48b15ccf-6782-4e49-98ef-2cc5c11e814f
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Date deposited: 11 Oct 2012 11:10
Last modified: 14 Mar 2024 12:08
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Contributors
Author:
Peter M. Robinson
Author:
Francesca Rossi
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