In this paper we use multivariate cointegration analysis to estimate electricity demand elasticities at the subsectoral industry level. This enables us to reap the benefits of lower heterogeneity within the electricity-consuming sectors investigated and of retaining additional information otherwise blurred by aggregation. The annual data set used covers eight subsectors of the German economy for the period 1970-2007. By employing a cointegrated VAR model specification and accounting for structural breaks we find cointegration relationships for five of the eight subsectors studied. The long-run elasticities range between 0.70 and 1.90 for economic activity and between –0.52 and zero for the price of electricity. The short-run elasticities are estimated by single-equation error-correction modeling and found to be between 0.17 to 1.02 for economic activity and –0.57 to zero for electricity price. Granger-causality tests indicate that in the long term causality runs from both economic activity and electricity price to electricity consumption, while Granger-causality from electricity price and electricity consumption to economic activity is detected in only two subsectors. Electricity price is found to be Granger-caused neither in the long nor the short run. Finally, an impulse response analysis yields plausible results confirming the usefulness of the approach adopted.