Is Spatial Bootstrapping a Panacea for Valid Inference?

Bootstrapping methods have so far been rarely used to evaluate spatial data sets. 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 (2008) based on restricted residuals clearly outperforms asymptotic as well as competing bootstrap tests, like the pairs bootstrap.

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Year of publication:	2013-05
Authors:	Klarl, Torben
Institutions:	Institut für Volkswirschaftlehre, Fakultät für Wirtschaftswissenschaften
Subject:	Spatial econometrics \| Paired bootstrap \| Wild bootstrap \| Parameter inference

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Extent:	application/pdf
Series:	Discussion Paper Series.
Type of publication:	Book / Working Paper
Notes:	Number 322
Classification:	c18 ; C21 - Cross-Sectional Models; Spatial Models ; R11 - Regional Economic Activity: Growth, Development, and Changes
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010859384