IS SPATIAL BOOTSTRAPPING A PANACEA FOR VALID INFERENCE?

Torben Klarl

Journal of Regional Science, 2014, vol. 54, issue 2, 304-312

Abstract: type="main">

Bootstrapping methods have so far been rarely used to evaluate spatial datasets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire ([Davidson, Russell, 2008]) based on restricted residuals clearly outperforms asymptotic as well as competing bootstrap tests, like the pairs bootstrap.

Date: 2014
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Working Paper: Is Spatial Bootstrapping a Panacea for Valid Inference? (2013)
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