Optimal recall length in survey design

Philip M. Clarke, Denzil G. Fiebig, Ulf Gerdtham

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)1275-1284
JournalJournal of Health Economics
Volume27
Issue number5
DOIs
Publication statusPublished - 2008

Subject classification (UKÄ)

  • Health Care Service and Management, Health Policy and Services and Health Economy

Free keywords

  • errors in variables
  • survey methods
  • health care
  • recall error

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