[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ags/saea18/266597.html
   My bibliography  Save this paper

Student Performance and School Size: A Two-stage Spatial Quantile Regression Approach to Evaluate Oklahoma High Schools

Author

Listed:
  • Han, Kwideok
  • Whitacre, Brian E.
Abstract
No abstract is available for this item.

Suggested Citation

  • Han, Kwideok & Whitacre, Brian E., 2018. "Student Performance and School Size: A Two-stage Spatial Quantile Regression Approach to Evaluate Oklahoma High Schools," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266597, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea18:266597
    DOI: 10.22004/ag.econ.266597
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/266597/files/Student%20Performance%20and%20School%20Size%20-%20SAEA.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/266597/files/Student%20Performance%20and%20School%20Size%20-%20SAEA.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.266597?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. Zhang, Lei & Leonard, Tammy, 2014. "Neighborhood impact of foreclosure: A quantile regression approach," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 133-143.
    2. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    3. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    4. Walsh, Patrick, 2010. "Is parental involvement lower at larger schools?," Economics of Education Review, Elsevier, vol. 29(6), pages 959-970, December.
    5. Charles Jacques & B. Wade Brorsen, 2002. "Relationship between types of school district expenditures and student performance," Applied Economics Letters, Taylor & Francis Journals, vol. 9(15), pages 997-1002.
    6. David M. Brasington, 2007. "Public- and Private-School Competition: The Spatial Education Production Function," Springer Books, in: Toichiro Asada & Toshiharu Ishikawa (ed.), Time and Space in Economics, chapter 10, pages 175-203, Springer.
    7. Grogger, Jeff, 1996. "School Expenditures and Post-schooling Earnings: Evidence from High School and Beyond," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 628-637, November.
    8. Tae-Hwan Kim & Christophe Muller, 2004. "Two-stage quantile regression when the first stage is based on quantile regression," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 218-231, June.
    9. Jesse Levin, 2001. "For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement," Empirical Economics, Springer, vol. 26(1), pages 221-246.
    10. Jacques, Charles & Brorsen, B. Wade & Richter, Francisca G.-C., 2000. "Consolidating Rural School Districts: Potential Savings And Effects On Student Achievement," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(3), pages 1-11, December.
    11. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    12. Carol S. Parke & Gibbs Y. Kanyongo, 2012. "Student Attendance, Mobility, and Mathematics Achievement in an Urban School District," The Journal of Educational Research, Taylor & Francis Journals, vol. 105(3), pages 161-175, April.
    13. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    14. Kuziemko, Ilyana, 2006. "Using shocks to school enrollment to estimate the effect of school size on student achievement," Economics of Education Review, Elsevier, vol. 25(1), pages 63-75, February.
    15. Simone Angioloni & Glenn C. W. Ames, 2015. "Racial Diversity and School Performance: A School Location Approach," The Review of Regional Studies, Southern Regional Science Association, vol. 45(3), pages 253-277, Winter.
    16. Philip Kostov, 2009. "A Spatial Quantile Regression Hedonic Model of Agricultural Land Prices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(1), pages 53-72.
    17. Dinand Webbink, 2005. "Causal Effects in Education," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 535-560, September.
    18. Elchanan Cohn, 1968. "Economies of Scale in Iowa High School Operations," Journal of Human Resources, University of Wisconsin Press, vol. 3(4), pages 422-434.
    19. repec:fth:prinin:455 is not listed on IDEAS
    20. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    Full references (including those not matched with items on IDEAS)

    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. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    2. Lingjie Ma & Roger Koenker, 2004. "Quantile regression methods for recursive structural equation models," CeMMAP working papers 01/04, Institute for Fiscal Studies.
    3. Corak, Miles & Lauzon, Darren, 2009. "Differences in the distribution of high school achievement: The role of class-size and time-in-term," Economics of Education Review, Elsevier, vol. 28(2), pages 189-198, April.
    4. Gilpin, Gregory A., 2012. "Teacher salaries and teacher aptitude: An analysis using quantile regressions," Economics of Education Review, Elsevier, vol. 31(3), pages 15-29.
    5. 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.
    6. Guanghui Pan, 2024. "Methodological Foundations of Modern Causal Inference in Social Science Research," Papers 2408.00032, arXiv.org.
    7. Ludger Wößmann, 2003. "European education production functions: what makes a difference for student achievement in Europe?," European Economy - Economic Papers 2008 - 2015 190, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    8. Liu, Sezhu & Hite, Diane, 2013. "Measuring the Effect of Green Space on Property Value: An Application of the Hedonic Spatial Quantile Regression," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143045, Southern Agricultural Economics Association.
    9. Graham McKee & Katharine Sims & Steven Rivkin, 2015. "Disruption, learning, and the heterogeneous benefits of smaller classes," Empirical Economics, Springer, vol. 48(3), pages 1267-1286, May.
    10. Mustafa Caglayan & Alessandro Flamini & Babak Jahanshahi, 2017. "Organized Crime and Technology," DEM Working Papers Series 136, University of Pavia, Department of Economics and Management.
    11. Christian Terwiesch & Marcelo Olivares & Bradley R. Staats & Vishal Gaur, 2020. "OM Forum—A Review of Empirical Operations Management over the Last Two Decades," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 656-668, July.
    12. Kugler Franziska & Schwerdt Guido & Wößmann Ludger, 2014. "Ökonometrische Methoden zur Evaluierung kausaler Effekte der Wirtschaftspolitik," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(2), pages 105-132, June.
    13. Jiyoung Chae & Anil K. Bera, 2024. "Spatial Market Inefficiency in Housing Market: A Spatial Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 69(1), pages 70-99, July.
    14. Alejandra Mizala & Pilar Romaguera, 2002. "Equity and Educational Performance," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 219-274, January.
    15. Caglayan, Mustafa & Flamini, Alessandro & Jahanshahi, Babak, 2021. "Hindering human capital accumulation: A hidden cost of the silent mafia?," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 828-845.
    16. Jakubowski, Maciej & Sakowski, Pawel, 2006. "Quasi-Experimental Estimates of Class Size Effect in Primary Schools in Poland," MPRA Paper 4958, University Library of Munich, Germany.
    17. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    18. Foster, E. Michael & McCombs-Thornton, Kimberly, 2013. "Child welfare and the challenge of causal inference," Children and Youth Services Review, Elsevier, vol. 35(7), pages 1130-1142.
    19. Dinand Webbink, 2005. "Causal Effects in Education," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 535-560, September.
    20. Ravallion, Martin, 2008. "Evaluating Anti-Poverty Programs," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 59, pages 3787-3846, Elsevier.

    More about this item

    Keywords

    Community/Rural/Urban Development;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:saea18:266597. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    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.