Using Expectations Data to Study Subjective Income Expectations
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.Download Info
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 4937.Length:
Date of creation: Nov 1994
Date of revision:
Handle: RePEc:nbr:nberwo:4937
Note: LS
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Keywords:Other versions of this item:
- Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," Econometrics 9411003, EconWPA.
- J. Dominitz & C. F. Manski, . "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.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
References
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