Documentos. CDE Universitat de València

CoverOverview of employment flash estimation methods

The document provides a general overview of methods that are used in Member States for compiling employment flash estimates at 30 or 45 days after the quarter-end. It guides the compiler in the estimation process by following a step-by-step approach. The document discusses available source data, estimation procedures, model strategies, methods for forecasting missing data and the analysis of results. Description of countries’ methodologies, links to available software and references to literature are included as well. [+]

CoverLabour force statistics in Enlargement and ENP‑South countries — 2019 edition

This compact guide presents the latest data available for the EU, candidate countries, potential candidates and the European Neighbourhood Policy- South (ENP-South) countries in relation to labour force statistics in particular on employment and unemployment. As of August 2016, the EU had granted the perspective of membership to seven countries: Montenegro, North Macedonia, Albania, Serbia and Turkey are candidate countries; Bosnia and Herzegovina and Kosovo (1) are potential candidates. The ENP-South region covers 10 non-EU Mediterranean countries: Algeria, Egypt, Israel, Jordan, Lebanon, Libya, Morocco, Palestine, Syria and Tunisia. [+]

CoverQuality report of the European Union Labour Force Survey 2017 — 2019 edition

The purpose of this quality report is to provide the users of the European Union Labour Market Statistics with a tool for assessing the quality of these statistics which are based on the European Union Labour Force Survey. It provides a brief description of the survey and a summary of the main quality indicators which are: relevance, accuracy, accessibility and clarity, timeliness and punctuality, comparability, and coherence. The quality report is updated annually. [+]

CoverBasic figures on the EU — Fourth quarter 2018

The quarterly series 'Basic figures on the EU' presents the freshest Eurostat data on a small number of key indicators in the economic, social and environmental fields. In an effort to give readers a better overview of the data available in the Eurostat database, each edition of Basic figures on the EU introduces a set of three alternating indicators. The same content is available in a compact printed leaflet. [+]

CoverLabour Force Survey in the EU, candidate and EFTA countries — MAIN CHARACTERISTICS OF NATIONAL SURVEYS, 2017

The present report describes the main characteristics of the Labour Force Surveys (LFS) in the 28 Member States of the European Union, as well as three Candidate Countries and three EFTA countries in 2017. All these countries provide Eurostat with LFS micro-data for publication. The aim of this report is to provide users with the means to accurately interpret the LFS results by providing information regarding the technical features of the Labour Force Surveys carried out in these countries. [+]

CoverLabour Force Survey (LFS) ad-hoc module 2017 on the self-employed persons — Assessment report — 2018 edition

This report evaluates the 2017 EU Labour Force Survey (EU-LFS) ad-hoc module on self-employment. The main objective of this report is to describe the implementation of the survey and to assess the quality of the dataset. The report presents some main results and recommendations on how to improve the module for future repetitions. [+]

CoverQuality report of the European Union Labour Force Survey 2016 — 2018 edition

The purpose of this quality report is to provide the users of the European Union Labour Market Statistics with a tool for assessing the quality of these statistics which are based on the European Union Labour Force Survey. It provides a brief description of the survey and a summary of the main quality indicators which are: relevance, accuracy, accessibility and clarity, timeliness and punctuality, comparability, and coherence. The quality report is updated annually. [+]

CoverThe life of women and men in Europe — A statistical portrait — 2018 edition

There are large differences between the lives of women and men in Europe, but there are also similarities. The new digital publication The life of women and men in Europe — a statistical portrait aims at comparing women and men in their daily lives. It also shows how similar or different the everyday life of women and men is in European countries.

This digital publication containing short texts, interactive visualisation tools, infographics, photos, etc. has been developed by Eurostat in collaboration with the National Statistical Institutes of the EU Member States and the EFTA countries and is available in most of their official languages. [+]

CoverEuro area and EU employment flash estimates

Eurostat will start to publish euro area and European Union employment flash estimates based on early estimates provided by National Statistical institutes on a voluntary basis. This paper describes the reasons for advancing the employment estimates and elaborates the estimation method applied. It also discusses the assessment results of the test estimates carried out after 30 and 45 days by a Eurostat Task Force in 2017 and 2018 based on agreed criteria. The conclusion of this work is that the release of employment flash estimates for the euro area and the European Union after 45 days can start mid-November 2018. Testing to advance the estimates further to 30 days will continue. [+]

CoverA decomposition of the unadjusted gender pay gap using Structure of Earnings Survey data

This publication provides information on the data source, the methodology and statistical software used by Eurostat to decompose the unadjusted gender pay gap, and the results of this decomposition. The unadjusted gender pay gap combines possible differences in pay between men and women, for ‘equal work or work of equal value’, with the impact of differences in the average characteristics of men and women in the labour market. To measure the impact of differences in the average characteristics of men and women, Eurostat has used microdata from the Structure of Earnings Survey 2014. A statistical method known as the Blinder-Oaxaca decomposition method was applied on this dataset to isolate the contribution of each observed characteristic to the unadjusted gender pay gap. Eurostat’s methodology and results should help data users and policy makers to better interpret the unadjusted gender pay gap. [+]

 

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