Skip to main content

Advertisement

Log in

The Reversal of Mount Laurel’s Regional Contribution Agreements and the Impact on White-Black Academic Achievement Gaps Across New Jersey: 2008–2014

  • Original Article
  • Published:
Journal of Economics, Race, and Policy Aims and scope Submit manuscript

Abstract

Regional Contribution Agreements (RCAs) under New Jersey’s Fair Housing Act allowed municipalities to transfer up to half of their affordable housing obligations to a neighboring town. This paper uses the reversal of RCAs in 2008 as a natural experiment to investigate the impact that increasing affordable housing has on the white-black achievement gap in New Jersey. Using data from the US American Community Survey, the Stanford Education Data Archives and New Jersey’s Department of Community Affairs, structural equation models were specified and fitted to these data. The results suggest that there are differences in changes in the number of affordable housing units by former RCA sending status, and this study sheds some light on the relationship between affordable housing and white-black academic achievement gaps for former RCA-receiving districts. This study adds to the literature by showing that there is a positive relationship between affordable housing unit changes and changes in the white-black academic achievement gaps through changes in school district demographics in districts that were affordable housing–rich.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Altonji JG, Mansfield RK. The role of family, school, and community characteristics in inequality in education and labor-market outcomes. In: Duncan GJ, Murnane RJ, editors. Whither opportunity? Rising inequality, schools, and children’s life chances. New York: Russell Sage Foundation; 2011. p. 339–58.

    Google Scholar 

  • Baldwin B. A primer in the use and interpretation of structural equation models. Meas Eval Couns Dev. 1989;22:100–12.

    Article  Google Scholar 

  • Chetty R, Hendren N. The effects of neighborhoods on intergenerational mobility I: childhood exposure effects. J Econ. 2018;113(3):1107–62 Retrieved from http://equality-of-opportunity.org/images/nbhds_paper.pdf.

    Google Scholar 

  • Chetty R, Hendren N, Katz LF. The effects of exposure to better neighborhoods on children: new evidence from the moving to opportunity experiment. Am Econ Rev. 2016;106(4):855–902.

    Article  Google Scholar 

  • Chou C-P, Bentler PM. Estimates and tests in structural equation modeling. In: Hoyle RH, editor. Structural equation modeling: Concepts, issues and applications. Thousand Oaks: Sage Publications, Inc.; 1995. p. 37–55.

    Google Scholar 

  • Clotfelter C. After Brown: the rise and retreat of school segregation. Princeton: Princeton University Press; 2004.

    Google Scholar 

  • Coleman J. Equality of educational opportunity. Washington, D.C.: National Center for Educational Statistics; 1966.

    Google Scholar 

  • Condron DJ. Social class, school and non-school environments, and black/white inequalities in children’s learning. Am Sociol Rev. 2009;74:683–708.

    Article  Google Scholar 

  • Condron DJ, Tope D, Steidl CR, Freeman KJ. Racial segregation and the Black/White achievement gap, 1992 to 2009. Sociol Q. 2013;54(1):130–57.

    Article  Google Scholar 

  • Dastrup S, Ellen IG. Linking residents to opportunity: gentrification and public housing. Cityscape. 2016;18(3).

  • Dillman K-N, Fisher LM. The role of private-sector developers in challenges to local land use regulations. In: Ingram GK, Hong Y-H, editors. Property rights and land policies. Cambridge: Lincoln Institute of Land Policy; 2009. p. 384–412.

    Google Scholar 

  • Duncan GJ, Magnuson K. The nature and impact of early achievement skills, attention skills, and behavior problems. In: Duncam GJ, Murnane RJ, editors. Whither opportunity?: rising inequality, schools, and children’s life chances. New York: Russell Sage Foundation; 2011. p. 47–70.

    Google Scholar 

  • Fair Housing Act, 52:27D-329.6 (NJ STAT ANN 2008).

  • Fair Share Housing Center. Chicken little: wealthy New Jersey towns fight affordable housing. Cherry Hill: Fair Share Housing Center; 2008.

    Google Scholar 

  • Fair Share Housing Center. New Jersey gap present need housing obligations, 1999-2015. Cherry Hill: Fair Share Housing Center; 2017.

    Google Scholar 

  • Fair Share Housing Center (n.d.). Mount Laurel Doctrine. Retrieved from Fair Share Housing: http://fairsharehousing.org/mount-laurel-doctrine/

  • Farkas G. Middle and high school skills, behaviors, attitudes, and curriculum enrollment, and their consequences. In: Duncan GJ, Murnane RJ, editors. Whither opportunity? Rising inequality, schools, and children’s life chances. New York: Russell Sage Foundation; 2011. p. 71–90.

    Google Scholar 

  • Flaxman G, Kucsera J, Orfield G, Ayscue J, Siegel-Hawley G. A status quo of segregation: racial and economic imbalance in New Jersey schools, 1989-2010. Los Angeles: Civil Rights Project/Proyecto Derechos Civiles; 2013.

    Google Scholar 

  • Graddy EA, Bostic RW. The Role of Private Agents in Affordable Housing Policy. J Public Adm Res Theory. 2010.

  • Hanna M (2017) 40 years later, N.J. courts, towns still wrestling with ‘affordable’ housing. The Philadephia Inquirer. Retrieved from https://www.inquirer.com/philly/news/40-years-later-n-j-courts-towns-still-wrestling-with-affordable-housing-20171013.html

  • Haynes VW. A brief history of the Mount Laurel Doctrine and the Princeton Regional Master Plan Housing Element and Fair Share Plans. Princeton: Princeton Community Housing; 2012.

    Google Scholar 

  • Ho AD, Reardon SF. Estimating achievement gaps from test scores reported in ordinal “proficiency”. J Educ Behav Stat. 2012;37(4):489–517.

    Article  Google Scholar 

  • Hoyle RH. The structural equation modeling approach: Basic concepts and fundamental issues. In: Hoyle RH, editor. Structural equation modeling: concepts, issues, and applications: Sage Publications, Inc; 1995. p. 1–15.

  • Hu L-T, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6(1):1–55. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • Iacobucci D. Structural equations modeling: fit indices, sample size, and advanced topics. J Consum Psychol. 2010:90–8.

  • Iglesias T. Managing local opposition to affordable housing: a new approach to NIMBY. J Affordable Hous Community Dev Law. 2002;12(1):78–122.

    Google Scholar 

  • Kena, G., Aud, S., Johnson, F., Wang, X., Zhang, J., Rathbun, A., Kristapovich, P. (2014). The condition of education 2014 (NCES 2014-083). Washington DC: US Department of Education, National Center for Education Statistics. Retrieved January 26, 2015, from http://nces.ed.gov/pubs2014/2014083.pdf

  • Klein C (2012). Re-examining the Mount Laurel Doctrine after the demise of the council on affordable housing: a critique of the builder’s remedy and voluntary municipal compliance. Law School Student Scholarship. Retrieved from https://scholarship.shu.edu/student_scholarship/123

  • Lomax RG. Covariance structure analysis: extensions and developments. In: Thompson B, editor. Advances in social science methodology. Greenwich: JAI Press; 1989. p. 171–204.

    Google Scholar 

  • Mallach, A (2013). Housing Baseline Assessment Report. Trenton, NJ: Housing and Community Development Network of New Jersey.

  • Marantz NJ, Zheng H. Exclusionary zoning and the limits of judicial impact. J Plan Educ Res. 2018.

  • McFarland J, Stark P, Cui J. Trends in high school dropout and completion rates in the United States: 2013. Washington, DC: National Center for Education Statistics; 2016.

    Google Scholar 

  • Mickelson RA. The reciprocal relationship. Washington, DC: National Coalition on School; 2011.

    Google Scholar 

  • Mitchell JL. Will empowering developers to challenge exclusionary zoning increase suburban housing choice. J Policy Anal Manag. 2004;23(1).

  • Mueller RO. Structural equation modeling: back to basics. Struct Equ Model. 1997;4:353–69.

    Article  Google Scholar 

  • National Center for Education Statistics (2009) NAEP 2009 High School Transcript Study

  • National Center for Education Statistics (2011) Condition of Education 2011

  • National Center for Education Statistics. Status and trends in the education of racial and ethnic groups 2018. Washington, DC: U.S. Department of Education; 2019.

    Google Scholar 

  • New Jersey Council on Affordable Housing. N.J.A.C. 5:94. Trenton: New Jersey Council of Affordable Housing; 2004.

    Google Scholar 

  • New Jersey Department of Education (2018) 2017-2018 Enrollment district reported data. Retrieved from DOE Data: https://nj.gov/education/data/enr/enr18/stat_doc.htm

  • Newman SJ, Holupka CS. Housing affordability and investments in children. J Hous Econ. 2013;24:89–100.

    Article  Google Scholar 

  • Norwood J. Trading affordable housing obligations: selling a civic duty or buying efficient development? Conn Law Rev. 2006;39(1).

  • Orfield G. Housing segregation produces unequal schools: cases and solutions. In: Carter PL, Welner KG, editors. Closing the opportunity gap: what America must do to give every child an even chance. New York: Oxford University Press; 2013. p. 40–60.

    Chapter  Google Scholar 

  • Orfield G, Ee J, Coughlin R. New Jersey’s segregated schools: trends and paths forward. Los Angeles: The Civil Rights Project / Proyecto Derechos Civiles; 2017.

    Google Scholar 

  • Pelletiere D. Getting to the heart of housing’s fundamental question: how much can a family afford? A primer on housing affordability standards in U.S. housing policy. Washington, DC: National Low Income Housing Coalition; 2008.

    Google Scholar 

  • Quigley J. Just suppose: housing subsidies for low-income renters. In: Retsinas N, Belskey E, editors. Revisiting Rental Housing. Cambridge: Harvard University Joint Center for Housing Studies; 2008. p. 300–18.

    Google Scholar 

  • Reardon S. The widening academic-achievement gap between the rich and the poor: new evidence and possible explanations. Stanford: Standford University; 2011.

    Google Scholar 

  • Reardon SF. School segregation and racial academic achievement gaps (CEPA Working Paper No. 15-12). Stanford: Stanford Center for Education Policy Analysis; 2015.

    Google Scholar 

  • Reardon S, Bischoff K. Income inequality and income segregation. Am J Sociol. 2011;116(4):1092–153.

    Article  Google Scholar 

  • Reardon, SF., Ho, AD., Shear, BR., Fahle, EM., Kalogrides, D., Jang, H., Chavez, B., Buontempo, J., DiSalvo, R. (2019). Stanford Education Data Archive (Version 3.0). http://purl.stanford.edu/db586ns4974

  • Sampson RJ. Great American city: Chicago and the enduring neighborhood effect. Chicago: University of Chicago Press; 2012.

    Book  Google Scholar 

  • Schilling M. Measuring diversity in the United States. Math Horizons. 2002;9(4):29–30.

    Article  Google Scholar 

  • Sobko K (2019) Englewood Cliffs residents call for trial on affordable housing. North Jersey Record. Retrieved from https://www.northjersey.com/story/news/bergen/englewood-cliffs/2019/07/12/englewood-cliffs-nj-residents-call-affordable-housing-trial/1703617001/

  • South Burlington County N.A.A.C.P. v. Township of Mount Laurel, 92 N.J. 158 (Supreme Court of New Jersey 1983).

  • Southern Burlington County N.A.A.C.P. v. Township of Mount Laurel, 67 N.J. 151 (Supreme Court of New Jersey 1975).

  • State of New Jersey Department of Community Affairs (2009) Resolution waiving N.J.A.C. 5:97-2.3(a), 5:97-2.4 . resolution waiving N.J.A.C. 5:97-2.3(a), 5:97-2.4 and appendix F . Council of Affordable Housing

  • U.S. Department of Housing and Urban Development. Worst case housing needs 2009 report to Congress. Washington, DC: U.S. Department of Housing and Urban Development; 2011. Retrieved from https://www.huduser.gov/portal/publications/worstcase_HsgNeeds09.pdf

    Google Scholar 

  • Walsh KD. On the front lines of New Jersey’s Mount Laurel Doctrine. Poverty Race. 2011;20(2):9–11.

    Google Scholar 

  • Wassmer RW, Wahid I. Does the likely demographics of affordable housing justify NIMBYism? Hous Policy Debate. 2019;29(2):343–58. https://doi.org/10.1080/10511482.2018.1529694.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elizabeth Iris Rivera Rodas.

Ethics declarations

Conflict of Interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rivera Rodas, E.I. The Reversal of Mount Laurel’s Regional Contribution Agreements and the Impact on White-Black Academic Achievement Gaps Across New Jersey: 2008–2014. J Econ Race Policy 3, 205–220 (2020). https://doi.org/10.1007/s41996-020-00059-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41996-020-00059-w

Keywords

JEL codes

Navigation