There is more statistical data produced in today's modern society than ever before. This data
is analysed and cross-referenced for innumerable reasons. However, many data sets have …

Among the goals of statistical matching, a very important one is the estimation of the joint
distribution of variables not jointly observed in a sample survey but separately available from …

Statistical matching consists in estimating the joint characteristics of two variables observed
in two distinct and independent sample surveys, respectively. In a parametric setup, ranges …

Within-survey multiple imputation (MI) methods are adapted to pooled-survey regression
estimation where one survey has more regressors, but typically fewer observations, than the …

In several applications there is the need to consider different data sources and to integrate
information: a specific case is the so-called statistical matching, where data sources have …

Survey data are still contemplated as one of the main sources in official statistics. However,
due to the high cost of conducting a survey, as well as the respondent burden, it may not be …

This study generates an integrated database to measure living standards in Italy using
propensity score matching. We follow the recommendations of the Commission on the …

Among the goals of statistical matching, a very important one is the estimation of the joint
distribution of variables not jointly observed in a sample survey but separately available from …

Complex research questions often cannot be addressed adequately with a single data set.
One sensible alternative to the high cost and effort associated with the creation of large new …

The potential to study and improve different aspects of our lives is ever growing thanks to the
abundance of data available in today's modern society. Scientists and researchers often …