IDEAS home Printed from https://ideas.repec.org/a/bpj/bejeap/v17y2017i4p26n9.html
   My bibliography  Save this article

School Bond Referendum, Capital Expenditure, and Student Achievement

Author

Listed:
  • Hong Kai

    (Robert F. Wagner Graduate School of Public Service, New York University, 295 Lafayette St, New York, NY 10012, USA)

Abstract

In the United States, the reform of the financial system of capital expenditure is under consideration, as people believe the current system through local referenda contributes to inequality in student achievement across school districts. Several studies using a regression discontinuity design (RDD) find zero to modest positive effects of capital expenditure on student achievement; however, these studies identify only the effect of capital expenditure financed by a marginally passed bond with a vote share at the cutoff. In this paper I estimate the average effect of capital expenditure on student achievement by incorporating a latent factor model into the existing RDD framework, and comparing school districts that are similar in their underlying confounding variables, namely preferences for educational investment. The results show that, on average, capital expenditure financed by a passed bond does not have significant effect on student achievement.

Suggested Citation

  • Hong Kai, 2017. "School Bond Referendum, Capital Expenditure, and Student Achievement," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(4), pages 1-26, October.
  • Handle: RePEc:bpj:bejeap:v:17:y:2017:i:4:p:26:n:9
    DOI: 10.1515/bejeap-2016-0341
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/bejeap-2016-0341
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/bejeap-2016-0341?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. Neilson, Christopher A. & Zimmerman, Seth D., 2014. "The effect of school construction on test scores, school enrollment, and home prices," Journal of Public Economics, Elsevier, vol. 120(C), pages 18-31.
    2. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    3. Martorell, Paco & Stange, Kevin & McFarlin, Isaac, 2016. "Investing in schools: capital spending, facility conditions, and student achievement," Journal of Public Economics, Elsevier, vol. 140(C), pages 13-29.
    4. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    5. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    6. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    7. Flavio Cunha & James Heckman & Salvador Navarro, 2005. "Separating uncertainty from heterogeneity in life cycle earnings," Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
    8. Bargain, Olivier B. & Doorley, Karina, 2013. "Putting Structure on the RD Design: Social Transfers and Youth Inactivity in France," IZA Discussion Papers 7508, Institute of Labor Economics (IZA).
    9. Hong, Kai & Zimmer, Ron, 2016. "Does Investing in School Capital Infrastructure Improve Student Achievement?," Economics of Education Review, Elsevier, vol. 53(C), pages 143-158.
    10. Felipe M. Goncalves, 2015. "The Effects of School Construction on Student and District Outcomes: Evidence from a State-Funded Program in Ohio," Working Papers 593, Princeton University, Department of Economics, Industrial Relations Section..
    11. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    12. Stephanie Riegg Cellini & Fernando Ferreira & Jesse Rothstein, 2010. "The Value of School Facility Investments: Evidence from a Dynamic Regression Discontinuity Design," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 215-261.
    13. Jones, John T. & W. Zimmer, Ron, 2001. "Examining the impact of capital on academic achievement," Economics of Education Review, Elsevier, vol. 20(6), pages 577-588, December.
    14. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    15. Joshua D. Angrist & Miikka Rokkanen, 2015. "Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1331-1344, December.
    16. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    17. Rebecca A. Maynard & Kenneth A. Couch & Coady Wing & Thomas D. Cook, 2013. "Strengthening The Regression Discontinuity Design Using Additional Design Elements: A Within‐Study Comparison," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(4), pages 853-877, September.
    18. Conlin, Michael & Thompson, Paul N., 2017. "Impacts of new school facility construction: An analysis of a state-financed capital subsidy program in Ohio," Economics of Education Review, Elsevier, vol. 59(C), pages 13-28.
    19. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    20. Yingying Dong & Arthur Lewbel, 2015. "Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1081-1092, December.
    21. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    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. Ali Enami, 2017. "Labor versus Capital in the Provision of Public Services: Estimating the Marginal Products of Inputs in the Production of Student Outcomes," Working Papers 1718, Tulane University, Department of Economics, revised Oct 2017.

    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. David Slichter, 2023. "The employment effects of the minimum wage: A selection ratio approach to measuring treatment effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 334-357, April.
    2. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    3. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    4. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    5. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    6. Wenchi Wei, 2021. "State fiscal constraint and local overrides: a regression discontinuity design estimation of the fiscal effects," Public Choice, Springer, vol. 189(3), pages 347-373, December.
    7. Stephen Gibbons & Claudia Hupkau & Sandra McNally & Henry G. Overman, 2021. "The Effects of College Capital Projects on Student Outcome," CVER Research Papers 035, Centre for Vocational Education Research.
    8. Enami, Ali & Alm, James & Aranda, Rodrigo, 2021. "Labor versus capital in the provision of public services: Estimating the marginal products of inputs in the production of student outcomes✰," Economics of Education Review, Elsevier, vol. 83(C).
    9. Matias D. Cattaneo & Luke Keele & Rocío Titiunik & Gonzalo Vazquez-Bare, 2021. "Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1941-1952, October.
    10. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    11. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    12. Jiang, Wei & Lu, Yi & Xie, Huihua, 2020. "Education and mental health: Evidence and mechanisms," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 407-437.
    13. Goeun Lee & Myoung-jae Lee, 2023. "Regression Discontinuity for Binary Response and Local Maximum Likelihood Estimator to Extrapolate Treatment," Evaluation Review, , vol. 47(2), pages 182-208, April.
    14. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    15. Francesco Ruggieri, 2023. "Dynamic Regression Discontinuity: A Within-Design Approach," Papers 2307.14203, arXiv.org.
    16. Asma Benhenda, 2020. "The impact of school facility expenditures on pupil attainment," CEPEO Briefing Note Series 10, UCL Centre for Education Policy and Equalising Opportunities, revised Nov 2020.
    17. Dor Leventer & Daniel Nevo, 2024. "Correcting invalid regression discontinuity designs with multiple time period data," Papers 2408.05847, arXiv.org.
    18. C. Kirabo Jackson, 2018. "Does School Spending Matter? The New Literature on an Old Question," NBER Working Papers 25368, National Bureau of Economic Research, Inc.
    19. Belmonte, Alessandro & Bove, Vincenzo & D’Inverno, Giovanna & Modica, Marco, 2020. "School infrastructure spending and educational outcomes: Evidence from the 2012 earthquake in Northern Italy," Economics of Education Review, Elsevier, vol. 75(C).
    20. Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.

    More about this item

    Keywords

    bond referendum; capital expenditure; latent factor; student achievement;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

    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:bpj:bejeap:v:17:y:2017:i:4:p:26:n:9. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.