IS SPATIAL BOOTSTRAPPING A PANACEA FOR VALID INFERENCE?

type="main"> <title type="main">ABSTRACT</title> <p>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.

MoreLess

Year of publication:	2014
Authors:	Klarl, Torben
Published in:	Journal of Regional Science. - Wiley Blackwell, ISSN 0022-4146. - Vol. 54.2014, 2, p. 304-312
Publisher:	Wiley Blackwell

More details

Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011033310