Perceptions of economic vulnerability: First evidence from the survey of economic expectations
This report uses data from the authors' National Survey of Economic Expectations to describe how, during 1994, working Americans with health insurance perceived the risk of near-term deterioration in their economic status. Perceived economic vulnerability is measured through responses to questions eliciting subjective probabilities of loss of health insurance, of burglary, and of job loss. We find that respondents tend to rank burglary as the most likely of the three events, followed by job loss, and then loss of health insurance. The perceived risk of crime victimization is much higher than the realized rate of victimization. Male and female respondents have similar risk perceptions but blacks have much greater perceived vulnerability than do whites.
|Date of creation:|
|Contact details of provider:|| Postal: 3412 Social Science Building, 1180 Observatory Drive, Madison, WI 53706|
Phone: (608) 262-6358
Fax: (608) 265-3119
Web page: http://www.ssc.wisc.edu/irp/dp/dplist.htm
More information through EDIRC
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.:
- Jeff Dominitz & Charles F. Manski, 1996.
"Eliciting Student Expectations of the Returns to Schooling,"
Journal of Human Resources,
University of Wisconsin Press, vol. 31(1), pages 1-26.
- J. Dominitz & C. F. Manski, "undated". "Eliciting student expectations of the returns to schooling," Institute for Research on Poverty Discussion Papers 1049-94, University of Wisconsin Institute for Research on Poverty.
- Jeff Dominitz & Charles F. Manski, 1994. "Eliciting Student Expectations of the Returns to Schooling," NBER Working Papers 4936, National Bureau of Economic Research, Inc.
- Jeff Dominitz & Charles F. Manski, 1994. "Eliciting Student Expectations Of The Returns To Schooling," Econometrics 9411002, EconWPA.
- Jeff Dominitz, 1998. "Earnings Expectations, Revisions, And Realizations," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 374-388, August.
- Guiso, Luigi & Jappelli, Tullio & Terlizzese, Daniele, 1992. "Earnings uncertainty and precautionary saving," Journal of Monetary Economics, Elsevier, vol. 30(2), pages 307-337, November.
- Giucca, P. & Jappelli, T. & Terlizzese, D., 1992. "Earning Uncertainty and Precautionary Saving," Papers 161, Banca Italia - Servizio di Studi.
- Guiso, Luigi & Jappelli, Tullio & Terlizzese, Daniele, 1992. "Earnings Uncertainty and Precautionary Saving," CEPR Discussion Papers 699, C.E.P.R. Discussion Papers.
- F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2, November.
- J. Dominitz & C. F. Manski, "undated". "Using expectations data to study subjective income expectations," Institute for Research on Poverty Discussion Papers 1050-94, University of Wisconsin Institute for Research on Poverty.
- Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," NBER Working Papers 4937, National Bureau of Economic Research, Inc.
- Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," Econometrics 9411003, EconWPA.
- Fischhoff, Baruch, 1994. "What forecasts (seem to) mean," International Journal of Forecasting, Elsevier, vol. 10(3), pages 387-403, November.
- Manski, C.F., 1989. "The Use Of Intentions Data To Predict Behaviour : A Best- Case Analysis," Working papers 8905, Wisconsin Madison - Social Systems.
- Michael D. Hurd & Kathleen McGarry, 1993. "Evaluation of Subjective Probability Distributions in the HRS," NBER Working Papers 4560, National Bureau of Economic Research, Inc. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:wop:wispod:1069-95. See general 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: (Thomas Krichel)
If references are entirely missing, you can add them using this form.