TESTING FOR STOCHASTIC MONOTONICITY
Sokbae Lee, Oliver Linton and Yoon-Jae Whang
Published August 2006
We propose a test of the hypothesis of stochastic monotonicity. This hypothesis is of interest in many applications. Our test is based on the supremum of a rescaled U-statistic. We show that its asymptotic distribution is Gumbel. The proof is difficult because the approximating Gaussian stochastic process contains both a stationary and a nonstationary part and so we have to extend existing results that only apply to either one or the other case.
Paper Number EM/2006/504:
Download PDF - TESTING FOR STOCHASTIC MONOTONICITY
JEL Classification: C14; C15