High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel

Facing a rapidly ageing population, Singapore is presented with urgent policy challenges. Yet there is very little data on the economic, health and family circumstances of older Singaporeans. In response, the Centre for Research on the Economics of Ageing (CREA) at Singapore Management University ha...

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Main Authors: VAITHIANATHAN, Rhema, HOOL, Bryce, HURD, Michael D., ROHWEDDER, Susann
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/soe_research/2243
https://ink.library.smu.edu.sg/context/soe_research/article/3242/viewcontent/SLP_Methodology_paper_310517v4.pdf
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spelling sg-smu-ink.soe_research-32422024-02-27T06:33:57Z High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel VAITHIANATHAN, Rhema HOOL, Bryce HURD, Michael D. ROHWEDDER, Susann Facing a rapidly ageing population, Singapore is presented with urgent policy challenges. Yet there is very little data on the economic, health and family circumstances of older Singaporeans. In response, the Centre for Research on the Economics of Ageing (CREA) at Singapore Management University has been collecting monthly data on a panel of Singaporeans aged between 50 and 70 years. We detail the methodology by which the Singapore Life Panel® (SLP) was constructed using a population-representative sampling frame from the Singapore Department of Statistics. Contact was made with 25,000 households through postal, phone and in-person canvassing. More than 15,200 respondents from over 11,500 households enrolled in the panel. Comparisons between SLP and official statistics show close matching on age, sex, marital status, ethnicity, education, labor force status, income and expenditure. This suggests that the panel is a representative of Singapore’s elderly population. Monthly surveys continue to be administered over the internet, supplemented by phone and in-person outreach to ensure the panel remains representative and hence reliable for informing policy makers. Response rates are remarkably stable at over 8000 per month. The SLP contains rich data on demographics, health status, socio-economic indicators, contact with government programmes and subjective perceptions and is likely to be a key resource for economic research into ageing in Singapore. 2021-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2243 info:doi/10.1142/S0217590818420043 https://ink.library.smu.edu.sg/context/soe_research/article/3242/viewcontent/SLP_Methodology_paper_310517v4.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Internet survey probability-based internet panel survey methodology sampling techniques population-representative samples ageing Singapore Asian Studies Behavioral Economics Gerontology Health Economics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Internet survey
probability-based internet panel
survey methodology
sampling techniques
population-representative samples
ageing
Singapore
Asian Studies
Behavioral Economics
Gerontology
Health Economics
spellingShingle Internet survey
probability-based internet panel
survey methodology
sampling techniques
population-representative samples
ageing
Singapore
Asian Studies
Behavioral Economics
Gerontology
Health Economics
VAITHIANATHAN, Rhema
HOOL, Bryce
HURD, Michael D.
ROHWEDDER, Susann
High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel
description Facing a rapidly ageing population, Singapore is presented with urgent policy challenges. Yet there is very little data on the economic, health and family circumstances of older Singaporeans. In response, the Centre for Research on the Economics of Ageing (CREA) at Singapore Management University has been collecting monthly data on a panel of Singaporeans aged between 50 and 70 years. We detail the methodology by which the Singapore Life Panel® (SLP) was constructed using a population-representative sampling frame from the Singapore Department of Statistics. Contact was made with 25,000 households through postal, phone and in-person canvassing. More than 15,200 respondents from over 11,500 households enrolled in the panel. Comparisons between SLP and official statistics show close matching on age, sex, marital status, ethnicity, education, labor force status, income and expenditure. This suggests that the panel is a representative of Singapore’s elderly population. Monthly surveys continue to be administered over the internet, supplemented by phone and in-person outreach to ensure the panel remains representative and hence reliable for informing policy makers. Response rates are remarkably stable at over 8000 per month. The SLP contains rich data on demographics, health status, socio-economic indicators, contact with government programmes and subjective perceptions and is likely to be a key resource for economic research into ageing in Singapore.
format text
author VAITHIANATHAN, Rhema
HOOL, Bryce
HURD, Michael D.
ROHWEDDER, Susann
author_facet VAITHIANATHAN, Rhema
HOOL, Bryce
HURD, Michael D.
ROHWEDDER, Susann
author_sort VAITHIANATHAN, Rhema
title High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel
title_short High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel
title_full High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel
title_fullStr High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel
title_full_unstemmed High-frequency Internet survey of a probability sample of older Singaporeans: The Singapore Life Panel
title_sort high-frequency internet survey of a probability sample of older singaporeans: the singapore life panel
publisher Institutional Knowledge at Singapore Management University
publishDate 2021
url https://ink.library.smu.edu.sg/soe_research/2243
https://ink.library.smu.edu.sg/context/soe_research/article/3242/viewcontent/SLP_Methodology_paper_310517v4.pdf
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