Official statistics production based on a combination of data sources, including sample
survey, census and administrative registers, is becoming more and more common …

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 …

The goal of statistical matching is the estimation of a joint distribution having observed only
samples from its marginals. The lack of joint observations on the variables of interest is the …

Official economic statistics are uncertain even if not always interpreted or treated as such.
From a historical perspective, this article reviews different categorisations of data …

The purpose of this paper is to evaluate the possibility of applying statistical matching on two
different data sources to create an integrated database with detailed information on …

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 …

The problem of inference about the joint distribution of two categorical variables based on
knowledge or observations of their marginal distributions, to be referred to as categorical …

Statistical matching techniques aim at integrating two or more data sources (usually data
from sample surveys) referred to the same target population. In the basic statistical matching …

Record linkage has become an important tool for increasing research opportunities in the
social sciences. Surveys that perform record linkage to administrative records are often …