C. Ceccarelli, S. Rosati, V. Talucci (2016). Valutazione della strategia di stima dell’Indagine sui consumi energetici delle famiglie. Rivista Italiana di Economia, Demografia e Statistica, Vol. LXX n.1 Gennaio-Marzo, 41-52; http://www.sieds.it/listing/RePEc/journl/2016LXX_N1rieds_sieds.pdf

CATI surveys offer many advantages, such as cost reduction, high timeliness and simpler management of the interviewer network, but they are affected by under-coverage errors, which affect the residential phone directory. This, in turn, affects the quality of estimators, which may be highly inaccurate due to large bias. The aim of this work is to stress the methodological features of the estimation strategy adopted for the Household energy consumption survey, in order to reduce the bias caused by the imperfection of the sampling frame. To reduce the bias we introduce auxiliary information from administrative data sources which are highly correlated with the target variables. This information was integrated in the sample and then included in the estimation process. This paper proposes an evaluation of this strategy.