Optimal recall length in survey design
AbstractSelf-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 can be estimated using hospital use data from Sweden's Survey of Living Conditions.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Health Economics.
Volume (Year): 27 (2008)
Issue (Month): 5 (September)
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/505560
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Griliches, Zvi, 1986. "Economic data issues," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 25, pages 1465-1514 Elsevier.
- Hugo Benitez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2000.
"How Large is the Bias is Self-Reported Disability?,"
NBER Working Papers
7526, National Bureau of Economic Research, Inc.
- Hugo Ben�tez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
- Hugo Benitez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2000. "How Large is the Bias in Self-Reported Disability?," Working Papers 2000-01, Brown University, Department of Economics.
- Richard Carson & Theodore Groves, 2007.
"Incentive and informational properties of preference questions,"
Environmental & Resource Economics,
European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
- Carson, Richard T & Groves, Theodore, 2010. "Incentive and Information Properties of Preference Questions," University of California at San Diego, Economics Working Paper Series qt88d8644g, Department of Economics, UC San Diego.
- Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
- Philipson, Tomas & Malani, Anup, 1999. "Measurement errors: A principal investigator-agent approach," Journal of Econometrics, Elsevier, vol. 91(2), pages 273-298, August.
- Buurman, Margaretha & Delfgaauw, Josse & Dur, Robert & Van den Bossche, Seth, 2012.
"Public sector employees: Risk averse and altruistic?,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 83(3), pages 279-291.
- Margaretha Buurman & Robert Dur & Seth Van den Bossche, 2009. "Public Sector Employees: Risk Averse and Altruistic?," Tinbergen Institute Discussion Papers 09-067/1, Tinbergen Institute.
- Buurman, Margaretha & Dur, Robert & van den Bossche, Seth, 2009. "Public Sector Employees: Risk Averse and Altruistic?," IZA Discussion Papers 4401, Institute for the Study of Labor (IZA).
- Margaretha Buurman & Josse Delfgaauw & Robert Dur & Seth Van den Bossche, 2012. "Public Sector Employees: Risk Averse and Altruistic?," CESifo Working Paper Series 3851, CESifo Group Munich.
- Hitczenko, Marcin, 2013. "Optimal recall period length in consumer payment surveys," Working Papers 13-16, Federal Reserve Bank of Boston.
- Thomas F. Crossley & Joachim K. Winter, 2013.
"Asking Households About Expenditures: What Have We Learned?,"
NBER Working Papers
19543, National Bureau of Economic Research, Inc.
- Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures National Bureau of Economic Research, Inc.
- Kirstine Hansen & Dylan Kneale, 2013. "Does How You Measure Income Make a Difference to Measuring Poverty? Evidence from the UK," Social Indicators Research, Springer, vol. 110(3), pages 1119-1140, February.
- Kjellsson, Gustav & Clarke, Philip & Gerdtham, Ulf-G., 2014.
"Forgetting to remember or remembering to forget: A study of the recall period length in health care survey questions,"
Journal of Health Economics,
Elsevier, vol. 35(C), pages 34-46.
- Kjellsson, Gustav & Clarke, Philip & Gerdtham, Ulf-G, 2013. "Forgetting to Remember or Remembering to Forget - A Study of the Recall Period Length in Health Care Survey Questions," Working Papers 2013:1, Lund University, Department of Economics.
- Van Vliet, Olaf & Been, Jim & Caminada, Koen & Goudswaard, Kees, 2011. "Pension reform and income inequality among the elderly in 15 European countries," MPRA Paper 32940, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.