Redesigning the LFS at Statistics Netherlands

Slides:

Advertisements

Similar presentations

Does mixed-mode data collection have influence to the quality of data of LFS? The web pilot study of LFS in Statistics Finland Q2014 Vienna 2 ‒ 5 June.

Advertisements

Household Surveys ACS – CPS - AHS INFO 7470 / ECON 8500 Warren A. Brown University of Georgia February 22,

Current Population Survey Sponsor: Bureau of Labor Statistics Collector: Census Bureau Purpose: Monthly Data for Analysis of Labor Market Conditions –CPS.

National design, fieldwork and data harmonization for Labour Force Survey Irena Svetin Statistical Office of the Republic of Slovenia September 2014.

Centraal Bureau voor de Statistiek Challenges of redesigning household surveys and maintaining output quality Menno Cuppen Paul van der Laan Wim van Nunspeet.

Measuring Disability: Results from the 2001 Census and the 2001 Post-Censal Disability Survey Statistics Canada January 10, 2003.

1 Web interviewing at Statistics Netherlands: practices so far Labour Force Survey The Netherlands Björn Janssen Hendrika Lautenbach April 2010.

© Federal Statistical Office of Germany In-depth review on Time use surveys Presentation by the Federal Statistical Office of Germany Bernd Stoertzbach,

FDA/FSIS Food Safety Survey Methods Amy Lando, MPP Consumer Studies Team Office of Scientific Analysis and Support Center for Food Safety and Applied Nutrition.

The Dutch travel survey Mixed-mode experiences from the Netherlands Ilona Bouhuijs Netherlands Statistics June 17th 2013 Disclaimer: the views expressed.

Implementing cawi into the data collection process Kees van Berkel Mariëtte Vosmer Jerusalem, July 2013.

Miami, Florida, 9 – 12 November 2016

The Association of Exposure to Adverse

Medicare Household Spending Non-Medicare Household Spending

Designing Low Cost Rapid Data Collection Systems

Tayseer Anis. IT Manager Dept. of Statistics (DOS)

What makes an effective sample survey?

UNECE Work Session on Gender Statistics Belgrade November, 2017

Percent of Population Age 60 and Older

Conducting of EU - SILC in the Republic of Macedonia, 2010

The usage of web interviewing in Lithuanian Labour Force Survey

LISA, Anticipating the Next Generation of Longitudinal Data

MULTI-SOURCE: Administrative data vs CAPI, CATI

The second wave of the new design of the Dutch EU-SILC: Possibilities and challenges Judit Arends.

Redesign Dutch LFS 2021 Sample of persons with a panel of households

Chapter 2: The nonresponse problem

LISA, Anticipating the Next Generation of Longitudinal Data

AES progress report and future plans

Planning the change to a targeted survey design

The European Statistical Training Programme (ESTP)

Overview on National Quality Reports NQR for EHIS wave 2

The European Statistical Training Programme (ESTP)

Estimating breaks in time series in the Austrian LFS

13th Workshop on Labour Force Survey Methodology

Chapter 7: Reducing nonresponse

The European Statistical Training Programme (ESTP)

Chapter 14: Mixed-mode datacollection

The impact of using web in The Danish LFS

Chapter 12: Other nonresponse correction techniques

Assessing Quality of Paradata to Better Understand the Data Collection Process for CAPI Social Surveys François Laflamme Milana Karaganis European Conference.

Health Status by Income

National needs for AES Purpose - describe participation in learning during a 12 months period. The main parameters are; Participation rates in different.

Vice President, Health Care Coverage and Access

Agenda Introduction IRIA: Key elements Results Conclusions.

Report from LAMAS Working Group meeting 24/25 June 2014 Agenda point 2

Workshop on migration statistics

Item 6.2 Participation in education and training in the last 12 months

LAMAS Working Group 29 June-1 July 2016

Biography Hans Schmeets is senior researcher at Statistics Netherlands (Division of Social and Spatial Statistics, Heerlen) and professor at the University.

Passenger Mobility Statistics 21 May 2015

The change of data sources in the Spanish SILC

« LFS series breaks with the adoption of the IESS FR How is Statistics Portugal planning to tackle the issue? 13th Workshop on Labour Force Survey Methodology.

Telling Canada’s story in numbers Marie-Josée Major

Task Force 4: Cultural Practices and Social Aspects

The Safety Monitor in The Netherlands

Eurostat ETS Working Group - Luxembourg, April 2013

Implementing mixed mode questionnaire in FI-SILC

Sample Means and Proportions Scavenger Hunt Review

Did not have a usual source of care Went without care because of cost

Business Process Improvement in the LFS

Vlasta Zucha, STATISTICS AUSTRIA,

The European Statistical Training Programme (ESTP)

FROM SCHOOL TO LABOUR MARKET PROJECTS IN ISRAEL Dalit COHEN-LERNER

MIMOD – Project overview

Mode effects in mixed-mode data collection WP2

Chapter 2: The nonresponse problem

Chapter 5: The analysis of nonresponse

Workshop on best practices for EU-SILC revision, −

Stratification, calibration and reducing attrition rate in the Dutch EU-SILC Judit Arends.

17th Task Force on the revision of the EU-SILC legal basis

Presentation transcript:

Redesigning the LFS at Statistics Netherlands May 17, 2018 Björn Janssen

Contents - Brief history - Current LFS - Improvement opportunities - Future LFS

Brief history Cawi Cati Capi Paper Labour Force (145.000) Crime (85.000) Consumer Confidence (25.000) Health (17.000) Working Conditions (144.000) ICT (9.200) Adult Education (7.100) Income & Living Cond. (14.000) School Leavers (157.000) Social Cohesion (12.000) Opinions & Lifestyle (6.300) Housing (114.000) Mobility (238.000) Life Style Monitor (17.000)

Design current LFS - Household sample / monthly sample / not mandatory - All household members aged 15+ should participate (proxy) Q1 Q2 Q3 Q4 Q5 Cawi Willing = Y ? Cati Y ? Cati Y ? Cati Y ? Cati Cawi Cati Capi Month t M t+1 M t+ 2 Q1 - Sliding reference week Discard random Non-response Willing = Y ? Cati Capi Willing = Y ?

Improvements - Increase response levels - Compensate for decreasing quality of telephone numbers - Cawi in waves 2 - 5 - Reduce questionnaire lenght - Reduce influence of proxy datacollection - Improved lay-out of questionnaire - More even distribution of responses

Improvements (current distribution)

Future design LFS - Sample of persons (11 % increase response) - Weekly samples cawi first wave - Weekly cati approach cawi non-response - Capi unchanged - Cawi non-response discarded selectively - Cawi in waves 2 – 5  cati follow-up - Approach by e-mail in waves 2 – 5 - Questionnaire tailored for mobile devices - Blaise 5.3 …. / Phoenix

Future design LFS (weekly samples) Cawi Cati Capi Cawi Cawi Cawi Capi Cati Cawi Cawi Cawi Cawi Cawi Cawi t-1 t t+1 t+2 t+3 t+4 t+5 t+6 Week

Improvements (distribution after)

Non-response discarded selectively Health survey Western: group 1 to 6 Income High Low Age / Pop dens 1 2-5 0-11 5 6 12-24 2 25-64 3 4 65+ Non Western: group 7 to 9 Group Age 7 25-64 8 12-24 9 0-11 of 65+

Non-response discarded selectively group % r cawi % to capi % r capi % r total 1 43 56 49 58 2 25 95 47 3 38 71 42 57 4 23 100 5 39 44 65 6 37 66 48 7 19 31 8 20 52 9 29 Low income Low income Non western Non western

In conclusion - Increase in response level - Better representation of the target population - More even distribution of responses over time - Shorter questionnaires with better lay-out - Very interested in the experiences of other agencies