Occupational mobility and its relation with economic fundamentals is obscured by mistakes when assigning occupational codes. We correct ("de-garble") occupation patterns, using the heterogeneous probabilities with which a worker in a certain occupation appears as working in another. This leads...

This article is an excerpted chapter from a research handbook on inflation in which we document measurement issues in the compilation of consumer price indexes. From defining the conceptual target to sampling, repricing, and aggregating the data, there are numerous issues that arise. In this...

In this paper, we describe an attempt made to develop an efficient disclosure control algorithm for microdata in a statistical portal used for releasing detailed statistical information at various levels of spatial aggregation. The proposed algorithm is based on perturbative methods, such as...

Unpaid domestic work is the main part of non-market household production which is not covered by national statistics (GDP). The monetary value of unpaid work is identified within the gross value added (GVA), which is 60-80% of (the invisible) non-market household production. GVA of unpaid work...

In this article, new ratio regression type estimators with imputation have been proposed as means to overcome the problem of missing data relating to a studied variable in a sample survey. It has been shown that the suggested estimators are more efficient than the mean method of imputation, the...

This paper presents a distribution-free test, based on the permutation approach, on treatment effects with a multivariate categorical response variable. The motivating example is a typical case-control biomedical study, performed to investigate the effect of the treatment called "assisted motor...

Data is an essential fuel for artificial intelligence (AI) to power the underlying machine learning (ML) algorithms. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data collection, which can ultimately lead to reduced...

Tackling discrimination in earnings between men and women is one of the key priorities of gender policies at both the EU and national levels. The unadjusted gender pay gap (GPG), which is calculated as the relative difference between the average earnings of women and men, is widely used as the...

The European Innovation Scoreboard (EIS) is a multidimensional monitoring framework providing a comparative assessment of the research and innovation performance of the EU27 as well as 12 neighbouring countries, their global partners, and the relative strengths and weaknesses of their research...