  This paper considers the problem of comparing two processes with panel data.
A nonparametric test is proposed for detecting a monotone change in the link
between the two process distributions. The test statistic is of CUSUM type,
based on the empirical distribution functions. The asymptotic distribution of
the proposed statistic is derived and its finite sample property is examined by
bootstrap procedures through Monte Carlo simulations.
