One preferred LR (DOLS cointegrating vector, Tables 7-9) and SR (VEC-DOLS, Tables 10-12) pair per sector; the authors select DOLS on stated Monte Carlo small-sample robustness grounds, build the ECMs and forecasts from it, and headline these elasticities in the results narrative and conclusions (the Regime Switching results are the uncoded alternative). || "DOLS presents evidence, based on Monte Carlo simulations, that the estimators are more robust in small samples when compared to other alternative estimators." (p. 5; see also p. 7: "An increase of 1%, for example, in family income makes the demand for electricity to increase by 0,684%.")
Irffi, G., Castelar, I., Siqueira, M., & Linhares, F. (2006): 'Dynamic OLS and regime switching models to forecast the demand for electricity in the Northeast of Brazil.' Working paper.