IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v31y2012i5p644-662.html
   My bibliography  Save this article

Potential for significant reductions in dropout rates: Analysis of an entire 3rd grade state cohort

Author

Listed:
  • Cratty, Dorothyjean

Abstract

Nineteen percent of 1997–98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to estimate benefits to the 15,737 students admitted to a special program ostensibly for academically and intellectually gifted children. I estimate the probability of admission for schoolmates with similar ability in math and reading to be substantially higher for those from upper income households. Finally, I conclude that extending similar resources to an equal number of high-risk students, as determined by their 3rd grade predicted probabilities, would lead to a 25% reduction in the total cohort dropout rate, and that even dividing existing resources between the two groups could cut dropout rates by half that.

Suggested Citation

  • Cratty, Dorothyjean, 2012. "Potential for significant reductions in dropout rates: Analysis of an entire 3rd grade state cohort," Economics of Education Review, Elsevier, vol. 31(5), pages 644-662.
    • Handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:644-662
    DOI: 10.1016/j.econedurev.2012.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775712000313
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econedurev.2012.04.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Eide, Eric R. & Showalter, Mark H., 2001. "The effect of grade retention on educational and labor market outcomes," Economics of Education Review, Elsevier, vol. 20(6), pages 563-576, December.
    2. Greene, Jay P. & Winters, Marcus A., 2009. "The effects of exemptions to Florida's test-based promotion policy: Who is retained?: Who benefits academically?," Economics of Education Review, Elsevier, vol. 28(1), pages 135-142, February.
    3. Berrara, A., 1989. "The Interactive Effects Of Mother'S Schooling And Unsupplemented Breastfeeding On Child Health," Papers 572, Yale - Economic Growth Center.
    4. McGee, Andrew, 2011. "Skills, standards, and disabilities: How youth with learning disabilities fare in high school and beyond," Economics of Education Review, Elsevier, vol. 30(1), pages 109-129, February.
    5. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    6. Philip J. Cook & Robert MacCoun & Clara Muschkin & Jacob Vigdor, 2008. "The negative impacts of starting middle school in sixth grade," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 104-121.
    7. Magnuson, Katherine A. & Ruhm, Christopher & Waldfogel, Jane, 2007. "Does prekindergarten improve school preparation and performance?," Economics of Education Review, Elsevier, vol. 26(1), pages 33-51, February.
    8. Kelly Bedard & Chau Do, 2005. "Are Middle Schools More Effective?: The Impact of School Structure on Student Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    9. Rumberger, Russell W. & Lamb, Stephen P., 2003. "The early employment and further education experiences of high school dropouts: a comparative study of the United States and Australia," Economics of Education Review, Elsevier, vol. 22(4), pages 353-366, August.
    10. Boozer, Michael & Rouse, Cecilia, 2001. "Intraschool Variation in Class Size: Patterns and Implications," Journal of Urban Economics, Elsevier, vol. 50(1), pages 163-189, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    2. Adamecz, Anna, 2023. "Longer schooling with grade retention: The effects of increasing the school leaving age on dropping out and labour market success," Economics of Education Review, Elsevier, vol. 97(C).
    3. Adamecz-Völgyi, Anna, 2021. "Is raising the school leaving age enough to decrease dropping out?," GLO Discussion Paper Series 985, Global Labor Organization (GLO).
    4. Vanessa Hanin & Jennifer Holm, 2023. "How Permeable Are the Beliefs of Future Secondary School Mathematics Teachers to Pre-Service Experiences? Looking Across Their Years of Training," SAGE Open, , vol. 13(4), pages 21582440231, December.
    5. Suzani Mohamad Samuri & Bahbibi Rahmatullah & Norazilawati Abdullah & Aslina Ahmad & Zainiah Mohamed Isa & Hamsa Hammed, 2018. "Early Childhood Research Landscape on Children’s Profile: Coherent Taxonomy, Motivation, Open Challenges, Recommendations and, Pathways for Future Research," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(5), pages 1603-1630, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.
    2. Lisa Barrow & Cecilia Elena Rouse, 2005. "Causality, causality, causality: the view of education inputs and outputs from economics," Working Paper Series WP-05-15, Federal Reserve Bank of Chicago.
    3. Ozkan Eren & Daniel L. Millimet, 2008. "Time to learn? The organizational structure of schools and student achievement," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 47-78, Springer.
    4. Christopher Jepsen, 2015. "Class size: Does it matter for student achievement?," IZA World of Labor, Institute of Labor Economics (IZA), pages 190-190, September.
    5. Ozkan Eren & Daniel J. Henderson, 2008. "The impact of homework on student achievement," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 326-348, July.
    6. Gary Henry & Roderick Rose & Doug Lauen, 2014. "Are value-added models good enough for teacher evaluations? Assessing commonly used models with simulated and actual data," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 20, pages 383-405, Asociación de Economía de la Educación.
    7. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    8. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    9. Mikael Lindahl, 2005. "Home versus School Learning: A New Approach to Estimating the Effect of Class Size on Achievement," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 375-394, June.
    10. Jones, Sam, 2013. "Class Size Versus Class Composition: What Matters for Learning in East Africa?," WIDER Working Paper Series 065, World Institute for Development Economic Research (UNU-WIDER).
    11. Michael A. Boozer & Tom Maloney, 2001. "The Effects of Class Size on the Long Run Growth in Reading Abilities and Early Adult Outcomes in the Christchurch Health and Development Study," Working Papers 827, Economic Growth Center, Yale University.
    12. Margaret Stevens & Kathryn Graddy, 2003. "The Impact of School Inputs on Student Performance: An Empirical Study of Private Schools in the United Kingdom," Economics Series Working Papers 146, University of Oxford, Department of Economics.
    13. Marlies Kornfeld & Carsten Ochsen, 2017. "Student assessment and grade retention: evidence from a natural experiment," Education Economics, Taylor & Francis Journals, vol. 25(2), pages 127-141, March.
    14. West, Martin R. & Woessmann, Ludger, 2006. "Which school systems sort weaker students into smaller classes? International evidence," European Journal of Political Economy, Elsevier, vol. 22(4), pages 944-968, December.
    15. Philip J. Cook & Robert MacCoun & Clara Muschkin & Jacob Vigdor, 2008. "The negative impacts of starting middle school in sixth grade," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 104-121.
    16. Stevens, Margaret & Graddy, Kathryn, 2003. "The Impact of School Inputs on Student Performance: An Empirical Study of Private Schools in the UK," CEPR Discussion Papers 3776, C.E.P.R. Discussion Papers.
    17. William Duncombe & John Yinger, 2011. "Making do: state constraints and local responses in California’s education finance system," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 18(3), pages 337-368, June.
    18. Boozer, Michael A. & Maloney, Tim, 2001. "The Effects of Class Size on the Long Run Growth in Reading Abilities and Early Adult Outcomes in the Christchurch Health and Development Study," Center Discussion Papers 28384, Yale University, Economic Growth Center.
    19. Graves, Jennifer, 2011. "Effects of year-round schooling on disadvantaged students and the distribution of standardized test performance," Economics of Education Review, Elsevier, vol. 30(6), pages 1281-1305.
    20. Şule Egüz, 2022. "Social Studies Instruction With Educational Music: Write, Compose, and Apply," SAGE Open, , vol. 12(3), pages 21582440221, August.

    More about this item

    Keywords

    Educational economics; Human capital; Resource allocation; State and federal aid;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:644-662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.