Optimal recall length in survey design
Author
Summary, in English
Self-reported data collected Via Surveys are a key input into a wide range of research conducted by economists. It is well known that Such data are subject to measurement error that arises when respondents are asked to recall past utilisation. Survey designers Must determine the length of the recall period and face a trade-off as increasing the recall period provides more information, but increases the likelihood of recall error. A statistical framework is used to explore this trade-off. Finally we illustrate how optimal recall periods call be estimated using hospital use data from Sweden's Survey of Living Conditions. (c) 2008 Published by Elsevier B.V.
Department/s
Publishing year
2008
Language
English
Pages
1275-1284
Publication/Series
Journal of Health Economics
Volume
27
Issue
5
Document type
Journal article
Publisher
Elsevier
Topic
- Health Care Service and Management, Health Policy and Services and Health Economy
Keywords
- errors in variables
- survey methods
- health care
- recall error
Status
Published
Research group
- Social Epidemiology
ISBN/ISSN/Other
- ISSN: 1879-1646