Updated: 18th May 2012
 

LFS Methodology
Madrid 10-11 May 2012

Papers

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  Sesions / Titles Authors Papers Presentations
  Opening session    
Introduction to the Spanish LFS Florentina Alvarez ES
Introducing modularity in order to improve quality and efficiency Johan van der Valk EU
A Data processing: Processing of data with panel design and multi-mode data collection. Quality controls and checks of data THOMAS KÖERNER Chair
A1 Dataprocessing during and after the interview Cor Kragt NL
A2 Plausibility checks and data validation for the Swiss LFS Daniel Lörch CH
A3 Quality controls and checks in data-editing procedures Brigitte Hirschbichler AT
A4 Quality controls and checks of data in Finnish LFS production system Kalle Sinivuori FI
B Data processing: Coding of economic activity, occupation and educational attainment  CRISTINA GONZALEZ-PACHECO Chair
B1 Classification of occupations. Trends in self-reported occupational titles, and the dependence of auxiliary variables for classification Ole Villund NO  
B2 Coding of economic activities (NACE) and occupations (ISCO) according to alternative titles Ondrej Nyvlt CZ
B3 Coding of economic activity, occupation and educational attainment using a new set of questions and new system of automatic codification Hendrika Lautenbach NL
B4 Coding of occupations in the Polish LFS – monitoring and instructions for interviewers Hanna Strzelecka, Natalia Wosztyl PL
B5 Room document: How to improve the quality and the cost of coding?. A software coding open answers according to a target classification settled directly on the laptop of the interviewers Sophie Destandau, Romain Warnam FR
C Data processing: Methods for editing and imputation, weighting, non-response adjustment SILVIA LORIGA Chair
C1 Method for the imputation of the earning variable in the Belgian LFS Astrid Depickere  BE
C2 The Danish experience of revising the weight Michael Frosch, Sammy Lauritsen DK
C3 Calibration by age groups and its impact on key labour market indicators Katharina Puch DE
D Data processing: Effective IT strategies for data processing (including LFS files for Eurostat) and data storage JOHAN VAN DER VALK Chair
D1 Eurostat data processing: current challenges and possible future improvements. Frank Espelage EU
D2 An IT framework for a quick evaluation of accuracy of Italian LFS Alessandro Martini IT
D3 IT strategies for Data Processing and Storage of LFS at the Spanish NSO Jorge Velasco ES
E Data quality: Quality issues on measurement of variables, issues and opportunities for standardisation between surveys or internationally SYLVIE LE MINEZ Chair
E1 Quality issues regarding the number of hours actually worked in the German LFS Thomas Köerner DE
E2 Quality issues regarding the number of hours actually worked in the French LFS Loup Wolff FR
E3 Calculating the eligibility rate of sampling units with unknown eligibility Rita Ranaldi  IT
F Data quality: Quality assurance measures HELGE NOME NAESHEIM Chair
F1 Using process indicators to assess and improve the quality of LFS data collection procedures Dag F. Gravem NO
F2 Comparison of LFS data with other sources  Lenart Lah SI
G Data quality: Quality issues on monthly figures, timeliness and consistency between quarterly and monthly data HANNA STRZELECKA Chair
G1 Quality improvement of monthly data in Romanian LFS Lavinia Elena Balteanu RO
G2 Monthly Unemployment Figures – Quality Issues Daniela Gumprecht AT
G3 Providing monthly estimates based on quarterly LFS surveys Miguel Angel García, Manuel Mateo ES
G4 A description of the procedures for consistency between monthly, quarterly and annual figures in Swedish LFS, including our publishing’s calendar Hassan Mirza SE

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