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The Signaling Value of a High School Diploma

Author

Listed:
  • Paco Martorell

    (RAND)

  • Damon Clark

    (University of Florida, NBER, IZA)

Abstract

Although economists acknowledge that various indicators of educational attainment (e.g., highest grade completed, credentials earned) might serve as signals of a worker's productivity, the practical importance of education-based signaling is not clear. In this paper we estimate the signaling value of a high school diploma, the most commonly held credential in the U.S. To do so, we compare the earnings of workers that barely passed and barely failed high school exit exams, standardized tests that, in some states, students must pass to earn a high school diploma. Since these groups should, on average, look the same to firms (the only difference being that "barely passers" have a diploma while "barely failers" do not), this earnings comparison should identify the signaling value of the diploma. Using linked administrative data on earnings and education from two states that use high school exit exams (Florida and Texas), we estimate that a diploma has little effect on earnings. For both states, we can reject that individuals with a diploma earn eight percent more than otherwise-identical individuals without one; combining the state-specific estimates, we can reject signaling values larger than five or six percent. While these confidence intervals include economically important signaling values, they exclude both the raw earnings difference between workers with and without a diploma and the regression-adjusted estimates reported in the previous literature.

Suggested Citation

  • Paco Martorell & Damon Clark, 2010. "The Signaling Value of a High School Diploma," Working Papers 1248, Princeton University, Department of Economics, Industrial Relations Section..
  • Handle: RePEc:pri:indrel:557
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    References listed on IDEAS

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    Cited by:

    1. Stefanie Dufaux, 2012. "Assessment for Qualification and Certification in Upper Secondary Education: A Review of Country Practices and Research Evidence," OECD Education Working Papers 83, OECD Publishing.
    2. Clark, Damon & See, Edward, 2011. "The impact of tougher education standards: Evidence from Florida," Economics of Education Review, Elsevier, vol. 30(6), pages 1123-1135.

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    More about this item

    Keywords

    education; productivity; earnings; income;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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