Efficient estimators of cointegrating vectors are presented for system
s involving deterministic components and variables of differing, highe
r orders of integration. The estimators are computed using GLS or OLS,
and Wald Statistics constructed from these estimators have asymptotic
chi2 distributions. These and previously proposed estimators of coint
egrating vectors are used to study long-run U.S. money (M1) demand. M1
demand is found to be stable over 1900-1989; the 95% confidence inter
vals for the income elasticity and interest rate semielasticity are (.
88, 1.06) and (-.13, -.08), respectively. Estimates based on the postw
ar data alone, however, are unstable, with variances which indicate su
bstantial sampling uncertainty.