IDEAS home Printed from https://ideas.repec.org/a/sae/pubfin/v38y2010i1p41-73.html
   My bibliography  Save this article

The Impact of Intergovernmental Incentives on Student Disability Rates

Author

Listed:
  • Sally Kwak

    (University of Hawaii, Department of Economics, Honolulu, HI, USA, kwaks@hawaii.edu)

Abstract

Measured disability rates among school-age children and the associated spending on special education programs have risen steeply over the past thirty years. Currently, about 15 percent of U.S. school children are classified as "disabled." Many observers note that the special education funding programs established by state and federal governments create an incentive for local school districts to drive up disability rates, potentially accounting for some of the rise in measured disability rates. I use the experiences following a major reform of the special education funding system in California to examine this issue. Between 1996 and 1998, the state converted from a system that awarded funds based on the number of students classified as disabled in a district (with funding rates that varied across districts) to one based on total enrollment. This reform induced changes in the total funding awarded to different districts and also reduced the marginal revenue from classifying an additional student as disabled to zero. Consistent with standard models, I find that the California reform creates both "income" and "substitution" effects on the number of students classified as disabled.

Suggested Citation

  • Sally Kwak, 2010. "The Impact of Intergovernmental Incentives on Student Disability Rates," Public Finance Review, , vol. 38(1), pages 41-73, January.
  • Handle: RePEc:sae:pubfin:v:38:y:2010:i:1:p:41-73
    DOI: 10.1177/1091142109358707
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1091142109358707
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1091142109358707?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
    ---><---

    References listed on IDEAS

    as
    1. Cullen, Julie Berry, 2003. "The impact of fiscal incentives on student disability rates," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1557-1589, August.
    2. Hope Corman & Stephen Chaikind, 1993. "The Effect of Low Birthweight on the Health, Behavior, and School Performance of School-Aged Children," NBER Working Papers 4409, National Bureau of Economic Research, Inc.
    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. Dhuey, Elizabeth & Lipscomb, Stephen, 2010. "Disabled or young? Relative age and special education diagnoses in schools," Economics of Education Review, Elsevier, vol. 29(5), pages 857-872, October.
    2. Eva Deuchert & Lukas Kauer & Helge Liebert & Carl Wuppermann, 2017. "Disability discrimination in higher education: analyzing the quality of counseling services," Education Economics, Taylor & Francis Journals, vol. 25(6), pages 543-553, November.
    3. Rangvid, Beatrice Schindler, 2019. "Returning special education students to regular classrooms: Externalities on peers’ reading scores," Economics of Education Review, Elsevier, vol. 68(C), pages 13-22.
    4. Deuchert, Eva & Kauer, Lukas & Liebert, Helge & Wuppermann, Carl, 2013. "No disabled student left behind? - Evidence from a social field experiment," Economics Working Paper Series 1336, University of St. Gallen, School of Economics and Political Science.

    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. Julie Berry Cullen & Randall Reback, 2006. "Tinkering Toward Accolades: School Gaming Under a Performance Accountability System," NBER Working Papers 12286, National Bureau of Economic Research, Inc.
    2. Hope Corman, 1995. "The Effects of Low Birthweight and Other Medical Risk Factors on Resource Utilization in the Pre-School Years," NBER Working Papers 5273, National Bureau of Economic Research, Inc.
    3. Clemens, Jeffrey & Cutler, David M., 2014. "Who pays for public employee health costs?," Journal of Health Economics, Elsevier, vol. 38(C), pages 65-76.
    4. Rajashri Chakrabarti, 2013. "Vouchers, Public School Response, And The Role Of Incentives: Evidence From Florida," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 500-526, January.
    5. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," CEPR Discussion Papers 15660, C.E.P.R. Discussion Papers.
    6. Currie, Janet & Stabile, Mark, 2006. "Child mental health and human capital accumulation: The case of ADHD," Journal of Health Economics, Elsevier, vol. 25(6), pages 1094-1118, November.
    7. Dean, David & Pepper, John & Schmidt, Robert & Stern, Steven, 2019. "The effects of youth transition programs on labor market outcomes of youth with disabilities," Economics of Education Review, Elsevier, vol. 68(C), pages 68-88.
    8. Janet Currie & Mark Stabile, 2007. "Mental Health in Childhood and Human Capital," NBER Chapters, in: The Problems of Disadvantaged Youth: An Economic Perspective, pages 115-148, National Bureau of Economic Research, Inc.
    9. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William L Weber, 2017. "Would weighted-student funding enhance intra-district equity in Texas? A simulation using DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 377-389, April.
    10. Jason Boardman & Daniel Powers & Yolanda Padilla & Robert Hummer, 2002. "Low birth weight, social factors, and developmental outcomes among children in the United States," Demography, Springer;Population Association of America (PAA), vol. 39(2), pages 353-368, May.
    11. Elizabeth Dhuey & Stephen Lipscomb, 2013. "Funding Special Education by Total District Enrollment: Advantages, Disadvantages, and Policy Considerations," Education Finance and Policy, MIT Press, vol. 8(3), pages 316-331, July.
    12. Glomm, Gerhard & Harris, Douglas & Lo, Te-Fen, 2005. "Charter school location," Economics of Education Review, Elsevier, vol. 24(4), pages 451-457, August.
    13. David N. Figlio & Lawrence S. Getzler, 2002. "Accountability , Ability and Disability: Gaming the System," NBER Working Papers 9307, National Bureau of Economic Research, Inc.
    14. Todd E. Elder & David N. Figlio & Scott A. Imberman & Claudia L. Persico, 2021. "School Segregation and Racial Gaps in Special Education Identification," Journal of Labor Economics, University of Chicago Press, vol. 39(S1), pages 151-197.
    15. Dhuey, Elizabeth & Lipscomb, Stephen, 2010. "Disabled or young? Relative age and special education diagnoses in schools," Economics of Education Review, Elsevier, vol. 29(5), pages 857-872, October.
    16. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, Institute of Labor Economics (IZA).
    17. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    18. Ashlesha Datar & M. Rebecca Kilburn & David S Loughran, 2006. "Health Endowments and Parental Investments in Infancy and Early Childhood," Working Papers 367, RAND Corporation.
    19. Cullen, Julie Berry, 2003. "The impact of fiscal incentives on student disability rates," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1557-1589, August.
    20. William Duncombe & Anna Lukemeyer & John Yinger, 2008. "The No Child Left Behind Act," Public Finance Review, , vol. 36(4), pages 381-407, July.

    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:sae:pubfin:v:38:y:2010:i:1:p:41-73. 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: SAGE Publications (email available below). General contact details of provider: .

    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.