Using Expectations Data to Study Subjective Income Expectations

Jeff Dominitz and Charles Manski

No 4937, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We have collected data on the one-year-ahead income expectations of members of American households in our Survey of Economic Expectations (SEE), a module of a national continuous telephone survey conducted at the University of Wisconsin. The income-expectations questions take this form: `What do you think is the percent chance (or what are the chances out of 100) that your total household income, before taxes, will be less than Y over the next 12 months?' We use the responses to a sequence of such questions posed for different income thresholds Y to estimate each respondent's subjective probability distribution for next year's household income. We use the estimates to study the cross-sectional variation in income expectations for one year into the future.

Date: 1994-11
Note: LS
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)

Published as Jeff Dominitz & Charles F. Manski, 1997. "Using Expectations Data to Study Subjective Income Expectations," Journal of the American Statistical Association, vol 92(439), pages 855-867.

Downloads: (external link)
http://www.nber.org/papers/w4937.pdf (application/pdf)

Related works:
Working Paper: Using Expectations Data to Study Subjective Income Expectations (1994)
Working Paper: Using expectations data to study subjective income expectations
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:4937

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w4937

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by (wpc@nber.org).