Labor Market Returns to the GED Using Regression Discontinuity Analysis Article Swipe

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Christopher Jepsen , Peter R. Mueser , Kenneth R. Troske ·

YOU? · · 2016 · Open Access · · DOI: https://doi.org/10.1086/686245

We evaluate returns to General Educational Development (GED) certification for high school dropouts using state administrative data. We apply a fuzzy regression discontinuity method to account for test takers retaking the test. For women we find that GED certification has no statistically significant effect on either employment or earnings. For men we find a significant increase in earnings in the second year after taking the test but no impact in subsequent years. GED certification increases postsecondary school enrollment by 4–8 percentage points. Our results differ from regression discontinuity approaches that fail to account for test retaking.

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Regression discontinuity design Earnings Certification Test (biology) Regression Regression analysis Economics Econometrics Regression testing Actuarial science Statistics Mathematics Accounting Computer science Management Software system Paleontology Biology Software Software construction Programming language

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Type: article
Language: en
Landing Page: https://doi.org/10.1086/686245
OA Status: green
Cited By: 54
References: 30
Related Works: 10
OpenAlex ID: https://openalex.org/W1599229608

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DOI: https://doi.org/10.1086/686245

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Title: Labor Market Returns to the GED Using Regression Discontinuity Analysis

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Language: en

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Publication year: 2016

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Publication date: 2016-05-05

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Authors: Christopher Jepsen, Peter R. Mueser, Kenneth R. Troske

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Landing page: https://doi.org/10.1086/686245

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Concepts: Regression discontinuity design, Earnings, Certification, Test (biology), Regression, Regression analysis, Economics, Econometrics, Regression testing, Actuarial science, Statistics, Mathematics, Accounting, Computer science, Management, Software system, Paleontology, Biology, Software, Software construction, Programming language

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Cited by: 54

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