Abstract
A test of spuriousness for structural data is proposed. Partials are calculated using OLS estimates. The test of significance is based on Hubert's QAP, a nonparametric permutation test. Results of Monte Carlo simulations indicate that statistical bias and efficiency characteristics of this procedure are very reasonable
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