Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The sharp increase in energy prices and growing concern for environmental issues, among other things, are behind the renewed interest in energy demand estimation. However, there is scarce academic literature that takes real situation of energy suppliers into account: high quality but incomplete data. In this paper, we propose a useful and rather simple instrument for estimating electricity demand with the incomplete and/or imperfect data currently available to suppliers. In particular, using real expenditure and consumption data on electricity, we employ a model of random effects for panel data to estimate residential and industrial electricity demand in Spain.