This paper deals with the estimation of efficiency in a panel data fra
mework. A one-way error component model (ECM) is generalized to accomm
odate firm-specific variances for the inefficiency component. A multi-
step procedure is developed to estimate the cost function and predict
increase in cost due to inefficiency. The model is applied to examine
efficiency of ten major investor owned electric utilities in Texas dur
ing 1966-1985. The production technology is represented by a translog
cost function that is assumed to be the same for every utility (except
for heterogeneous intercepts), but it is allowed to shift over time d
ue to technical change. The data supports the ECM with firm-specific v
ariances and rejects the homoscedastic ECM. Cost inefficiency is found
to vary substantially across utilities ranging from 0 to 28%. Technic
al change is found to be quite small (less than +/- 1%), especially du
ring 1971-1985.