A consistent bootstrap procedure for nonparametric symmetry tests

Daniel Henderson () and Christopher Parmeter

Economics Letters, 2015, vol. 131, issue C, 78-82

Abstract: This paper proposes a bootstrap algorithm for testing symmetry of a univariate density. Validity of the bootstrap procedure is shown theoretically as well as via simulations. Three empirical examples demonstrate the versatility of the test in practice.

Keywords: U-statistic; Symmetry; Kernel; Bandwidth (search for similar items in EconPapers)
JEL-codes: C1 C12 C14 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176515001391
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:131:y:2015:i:c:p:78-82

DOI: 10.1016/j.econlet.2015.03.038

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().