Mode and Context Effects in Measuring Household Assets
AbstractDifferences in answers in Internet and traditional surveys can be due to selection, mode, or context effects. The authors exploit unique experimental data to analyze mode and context effects controlling for arbitrary selection. The Health and Retirement Study (HRS) surveys a random sample of the US 50+ population, with CAPI or CATI core interviews once every two years. In 2003 and 2005, random samples were drawn from HRS respondents in 2002 and 2004 willing and able to participate in an Internet interview. Comparing core and Internet survey answers of the same people, the authors analyze mode and context effects, controlling for selection. They focus on household assets, for which mode effects in Internet surveys have rarely been studied. They find some large differences between the first Internet survey and the other three surveys which they interpret as a context and question wording effect rather than a pure mode effect.
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.
Bibliographic InfoPaper provided by RAND Corporation Publications Department in its series Working Papers with number 668.
Length: 35 pages
Date of creation: Feb 2009
Date of revision:
Contact details of provider:
Postal: 1776 Main Street, P.O. Box 2138, Santa Monica, California 90407-2138
Web page: http://www.rand.org/pubs/
More information through EDIRC
Other versions of this item:
- Soest, A.H.O. van & Kapteyn, A., 2009. "Mode and Context Effects of Measuring Household Assets," Discussion Paper 2009-14, Tilburg University, Center for Economic Research.
- Arthur van Soest & Arie Kapteyn, 2009. "Mode and Context Effects in Measuring Household Assets," Working Papers 200949, Geary Institute, University College Dublin.
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
This paper has been announced in the following NEP Reports:
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.:
- Couper, Mick P. & Kapteyn, Arie & Schonlau, Matthias & Winter, Joachim, 2007. "Noncoverage and nonresponse in an Internet survey," Munich Reprints in Economics 20093, University of Munich, Department of Economics.
- F. Thomas Juster & James P. Smith, 2004. "Improving the Quality of Economic Data: Lessons from the HRS and AHEAD," Labor and Demography 0402010, EconWPA.
- Matthias Schonlau & Arthur Van Soest & Arie Kapteyn & Mick P. Couper, 2006. "Selection Bias in Web Surveys and the Use of Propensity Scores," Working Papers 279, RAND Corporation Publications Department.
- Guiso, Luigi & Jappelli, Tullio, 2000.
"Household Portfolios in Italy,"
CEPR Discussion Papers
2549, C.E.P.R. Discussion Papers.
- Alessie, R.J.M. & Hochgürtel, S. & Soest, A.H.O. van, 2000. "Household Portfolios in the Netherlands," Discussion Paper 2000-55, Tilburg University, Center for Economic Research.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Geary Working Paper: Van Soest and Kapteyn on Mode and Context Effects
by Liam Delaney in Geary Behaviour Centre on 2009-12-22 00:37:00
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Benson Wong).
If references are entirely missing, you can add them using this form.