EconPapers    
Economics at your fingertips  
 

A Simple Nonparametric Test for Independence

Bruce Mizrach ()

Departmental Working Papers from Rutgers University, Department of Economics

Abstract: A stationary stochastic process is defined to be locally independent if it eventually becomes independent of pastrealizations. I develop a simple nonparametric test for this condition. Size and power comparisons favor this statistic over the one proposed by Brock, Dechert and Scheinkman (1987) in samples under 250 observations.

Keywords: nonlinear dependence; U-statistics (search for similar items in EconPapers)
JEL-codes: C14 (search for similar items in EconPapers)
Date: Written
View citations in EconPapers

Downloads: (external link)
ftp://snde.rutgers.edu/Rutgers/wp/1995-23.pdf (application/pdf)

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: http://EconPapers.repec.org/RePEc:rut:rutres:199523

Access Statistics for this paper

More papers in Departmental Working Papers from Rutgers University, Department of Economics
Contact information at EDIRC.
Series data maintained by ().

 
Page updated 2009-11-03
Handle: RePEc:rut:rutres:199523