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Optimal recall length in survey design

Clarke, Philip M. ; Fiebig, Denzil G. and Gerdtham, Ulf LU orcid (2008) In Journal of Health Economics 27(5). p.1275-1284
Abstract
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.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
errors in variables, survey methods, health care, recall error
in
Journal of Health Economics
volume
27
issue
5
pages
1275 - 1284
publisher
Elsevier
external identifiers
  • wos:000259689800012
  • scopus:50249157972
ISSN
1879-1646
DOI
10.1016/j.jhealeco.2008.05.012
language
English
LU publication?
yes
id
5ab3c9a6-5730-48f2-b82c-fb251071914d (old id 1285717)
date added to LUP
2016-04-01 11:42:54
date last changed
2022-04-20 20:41:26
@article{5ab3c9a6-5730-48f2-b82c-fb251071914d,
  abstract     = {{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.}},
  author       = {{Clarke, Philip M. and Fiebig, Denzil G. and Gerdtham, Ulf}},
  issn         = {{1879-1646}},
  keywords     = {{errors in variables; survey methods; health care; recall error}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{1275--1284}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Health Economics}},
  title        = {{Optimal recall length in survey design}},
  url          = {{http://dx.doi.org/10.1016/j.jhealeco.2008.05.012}},
  doi          = {{10.1016/j.jhealeco.2008.05.012}},
  volume       = {{27}},
  year         = {{2008}},
}