Herein we develop an analytical study of the asymptotic distributions
obtained when we run linear regressions in the levels of stochasticall
y independent integrated time series when the orders of integration of
the dependent and independent variables are different. These theoreti
cal findings largely explain the Monte Carlo results recently reported
in Banerjee et al. (1993).