  The financial and economic crisis recently experienced by many European
countries has increased demand for timely, coherent and consistent
distributional information for the household sector. In the Euro area, most of
the NCBs collect such information through income and wealth surveys, which are
often used to inform their decisions. These surveys, however, can often suffer
from biases, usually caused by non-response and under-reporting behaviours,
leading to a mismatch with macroeconomic aggregates. In this paper, we develop
a novel allocation method which combines information from a power law (Pareto)
model and imputation procedures so to address these issues simultaneously, when
only limited external information is available. We provide two important
contributions: first, we adjust the weights of observed survey households for
non-response bias, then, we correct for measurement error. Finally, we produce
distributional indicators for four Euro-Area countries.
