A consistent nonparametric test of affiliation in auction models

Sung Jae Jun, Joris Pinkse, Yuanyuan Wan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


We propose a new nonparametric test of affiliation, a strong form of positive dependence with independence as a special, knife-edge, case. The test is consistent against all departures from the null of affiliation, and its null distribution is standard normal. Like most nonparametric tests, a sample-size dependent input parameter is needed. We provide an informal procedure for choosing the input parameter and evaluate the test's performance using a simulation study. Our test can be used to test the fundamental assumptions of the auctions literature. We implement our test empirically using the Outer Continental Shelf (OCS) auction data.

Original languageEnglish (US)
Pages (from-to)46-54
Number of pages9
JournalJournal of Econometrics
Issue number1
StatePublished - Nov 2010

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics


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