Torben Klarl

Is Spatial Bootstrapping a Panacea for Valid Inference?


Abstract:

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.

JEL: C18, C21, R11

Paper:

Paper available as pdf-file. Beitrag Nr. 322, Volkswirtschaftliche Diskussionsreihe, Institut für Volkswirtschaftslehre der Universität Augsburg

Contact:

Torben Klarl, University of Augsburg, Department of Economics, D-86135 Augsburg, Germany, phone +49-821-598-4189, fax +49-821-598-4231
email: torben.alexander.klarl@wiwi.uni-augsburg.de


Bo., 27.05.2013