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Eliciting Student Expectations of the Returns to Schooling

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  • Jeff Dominitz
  • Charles F. Manski

Abstract

We report here on the design and first application of an interactive computer-assisted self-administered interview (CASI) survey eliciting from high school students and college undergraduates their expectations of the income they would earn if they were to complete different levels of schooling. We also elicit respondents' beliefs about current earnings distributions. Whereas a scattering of earlier studies have elicited point expectations of earnings unconditional on future schooling, we elicit subjective earnings distributions under alternative scenarios for future schooling. In this exploratory study, we find that respondents are willing and able to respond meaningfully to questions eliciting their earnings expectations in probabilistic form. The 110 respondents vary considerably in their earnings expectations but there is a common belief that the returns to a college education are positive and that earnings rise between ages 30 and 40. There is a common belief that one's own future earnings are rather uncertain. Moreover, respondents tend to overestimate the current degree of earnings inequality in American society.

Suggested Citation

  • 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.
    • Handle: RePEc:uwp:jhriss:v:31:y:1996:i:1:p:1-26
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    JEL classification:

    • 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

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