Anchoring and Acquiescence Bias in Measuring Assets in Household Surveys
AbstractCognitive psychology has identified and studied extensively a number of cognitive anomalies that may be important for the assessment of the economic status of individuals and households. In particular the use of brackets to elicit information about income and assets in surveys of households can interact with acquiescence bias and anchoring to cause bias in the estimates of the distributions of income and assets. This paper uses data from the Health and Retirement Study and the Asset and Health Dynamics Study to find that, as predicted by psychology, bracketing can produce bias in population estimates of assets. Copyright 1999 by Kluwer Academic Publishers
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 InfoArticle provided by Springer in its journal Journal of Risk and Uncertainty.
Volume (Year): 19 (1999)
Issue (Month): 1-3 (December)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100299
Other versions of this item:
- Michael D. Hurd, 1999. "Anchoring and Acquiescence Bias in Measuring Assets in Households Surveys," Working Papers 99-02, RAND Corporation Publications Department.
- Hurd, M., 1999. "Anchoring and Acquiescence Bias in Measuring Assets in Households Surveys," Papers 99-02, RAND - Labor and Population Program.
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.