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 …

Abstract Based on China Education Panel Survey data, this study used the PSM-DID
method to explore the relationship between labor education and cash transfers and …

A large share of the Common Agricultural Policy (CAP) is allocated to agri-environmental
schemes (AESs), whose goal is to foster the provision of a wide range of environmental …

Abstract Framework of this paper is statistical data editing, specifically how to edit or impute
missing or contradictory data and how to merge two independent data sets presenting some …

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 …

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 is progressively emerging as a straightforward approach to data
integration. This method of increasing importance and interest is useful to address the …

In the framework of regression trees, this paper provides a recursive partitioning
methodology to deal with a non-standard response variable. Specifically, either multivalued …

Missing value imputation (MVI) is an important data preprocessing technique. In previous
decades, MVI technique has been widely studied as well as most MVI approaches have …

The aim is to analyze the uncertainty in statistical matching for ordered categorical variables.
Uncertainty in statistical matching consists in estimating a joint distribution by observing only …