IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/89101.html
   My bibliography  Save this paper

Test Scores, Schools, and the Geography of Economic Opportunity

Author

Listed:
  • Mookerjee, Sulagna
  • Slichter, David

Abstract

Do standardized test scores in a community indicate whether schools there are effective at producing human capital? Counties with high average test scores produce high-earning adults. But, using data from North Carolina, we find that counties' effects on test scores are either uncorrelated (for low-income kids) or negatively correlated (for high-income kids) with their effects on income in adulthood. We argue with a simple model that this is probably because the inputs directly responsible for counties' effects on test scores do not substantially increase income. In particular, we directly demonstrate that differences in test score production have little to do with teacher quality. Our results suggest that differences in test score production across places are not necessarily a useful measure of the quality of schools.

Suggested Citation

  • Mookerjee, Sulagna & Slichter, David, 2018. "Test Scores, Schools, and the Geography of Economic Opportunity," MPRA Paper 89101, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:89101
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/89101/1/MPRA_paper_89101.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Eric Hanushek & Ludger Woessmann, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Journal of Economic Growth, Springer, vol. 17(4), pages 267-321, December.
    2. David Deming, 2009. "Early Childhood Intervention and Life-Cycle Skill Development: Evidence from Head Start," American Economic Journal: Applied Economics, American Economic Association, vol. 1(3), pages 111-134, July.
    3. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    4. Will Dobbie & Roland G. Fryer, 2020. "Charter Schools and Labor Market Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 915-957.
    5. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    6. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
    7. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    8. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    9. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    10. Barbara Biasi, 2023. "School Finance Equalization Increases Intergenerational Mobility," Journal of Labor Economics, University of Chicago Press, vol. 41(1), pages 1-38.
    11. Jesse Rothstein, 2017. "Measuring the Impacts of Teachers: Comment," American Economic Review, American Economic Association, vol. 107(6), pages 1656-1684, June.
    12. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    13. James J. Heckman, 2008. "Schools, Skills, And Synapses," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 289-324, July.
    14. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    15. David J. Deming & Sarah Cohodes & Jennifer Jennings & Christopher Jencks, 2016. "School Accountability, Postsecondary Attainment, and Earnings," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 848-862, December.
    16. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    17. Jesse Rothstein, 2019. "Inequality of Educational Opportunity? Schools as Mediators of the Intergenerational Transmission of Income," Journal of Labor Economics, University of Chicago Press, vol. 37(S1), pages 85-123.
    18. David J. Deming, 2014. "Using School Choice Lotteries to Test Measures of School Effectiveness," American Economic Review, American Economic Association, vol. 104(5), pages 406-411, May.
    19. Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017. "Leveraging Lotteries for School Value-Added: Testing and Estimation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 871-919.
    20. Barbara Biasi, 2018. "The Labor Market for Teachers Under Different Pay Schemes," NBER Working Papers 24813, National Bureau of Economic Research, Inc.
    21. Richard J. Murnane & John B. Willett & Yves Duhaldeborde & John H. Tyler, 2000. "How important are the cognitive skills of teenagers in predicting subsequent earnings?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 547-568.
    22. Damon Clark & Paco Martorell, 2014. "The Signaling Value of a High School Diploma," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 282-318.
    23. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1163-1228.
    24. Todd Schoellman, 2012. "Education Quality and Development Accounting," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(1), pages 388-417.
    25. Barbara Biasi, 2021. "The Labor Market for Teachers under Different Pay Schemes," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 63-102, August.
    26. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    27. C. Kirabo Jackson, 2018. "What Do Test Scores Miss? The Importance of Teacher Effects on Non–Test Score Outcomes," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 2072-2107.
    28. Penney, Jeffrey, 2017. "A self-reference problem in test score normalization," Economics of Education Review, Elsevier, vol. 61(C), pages 79-84.
    29. Victor Lavy, 2020. "Teachers’ Pay for Performance in the Long-Run: The Dynamic Pattern of Treatment Effects on Students’ Educational and Labour Market Outcomes in Adulthood," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(5), pages 2322-2355.
    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. Sulagna Mookerjee & John D. Pedersen & David Slichter, 2023. "Time Use and the Geography of Economic Opportunity," Research in Labor Economics, in: Time Use in Economics, volume 51, pages 89-104, Emerald Group Publishing Limited.

    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. Naven, Matthew, 2019. "Human-Capital Formation During Childhood and Adolescence: Evidence from School Quality and Postsecondary Success in California," MPRA Paper 97716, University Library of Munich, Germany.
    2. Eric A. Hanushek & Jens Ruhose & Ludger Woessmann, 2015. "Human Capital Quality and Aggregate Income Differences: Development Accounting for U.S. States," CESifo Working Paper Series 5411, CESifo.
    3. Eric A. Hanushek & Jens Ruhose & Ludger Woessmann, 2017. "Knowledge Capital and Aggregate Income Differences: Development Accounting for US States," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 184-224, October.
    4. Jo Blanden & Matthias Doepke & Jan Stuhler, 2022. "Education inequality," CEP Discussion Papers dp1849, Centre for Economic Performance, LSE.
    5. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    6. Jean-William Laliberté, "undated". "Long-term Contextual Effects in Education: Schools and Neighborhoods," Working Papers 2019-01, Department of Economics, University of Calgary.
    7. Naven, Matthew, 2020. "Within-School Heterogeneity in Quality: Do Schools Provide Equal Value Added to All Students?," MPRA Paper 100123, University Library of Munich, Germany.
    8. Lepinteur, Anthony & Nieto, Adrìan, 2021. "All about the money ? The gendered effect of education on industrial and occupational sorting," CEPREMAP Working Papers (Docweb) 2109, CEPREMAP.
    9. Lars J. Kirkebøen, 2021. "School value-added and longterm student outcomes," Discussion Papers 970, Statistics Norway, Research Department.
    10. Lisa Grazzini, 2016. "The Importance of the Quality of Education: Some Determinants and its Effects on Earning Returns and Economic Growth," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2016(2), pages 43-82.
    11. Bär, Marlies & Bakx, Pieter & Wouterse, Bram & van Doorslaer, Eddy, 2022. "Estimating the health value added by nursing homes," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 1-23.
    12. Andrew McEachin & Allison Atteberry, 2017. "The Impact of Summer Learning Loss on Measures of School Performance," Education Finance and Policy, MIT Press, vol. 12(4), pages 468-491, Fall.
    13. Raffaella Giacomini & Sokbae Lee & Silvia Sarpietro, 2023. "A Robust Method for Microforecasting and Estimation of Random Effects," Working Paper Series WP 2023-26, Federal Reserve Bank of Chicago.
    14. Christian Posso & Jorge Tamayo & Arlen Guarin & Estefania Saravia, 2024. "Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes," Borradores de Economia 1269, Banco de la Republica de Colombia.
    15. Bar, M.; & Bakx, P.; & Wouterse, B.; & van Doorslaer, Eddy.;, 2022. "Estimating the health value added by nursing homes," Health, Econometrics and Data Group (HEDG) Working Papers 22/12, HEDG, c/o Department of Economics, University of York.
    16. Nick Huntington-Klein, 2021. "Human capital versus signaling is empirically unresolvable," Empirical Economics, Springer, vol. 60(5), pages 2499-2531, May.
    17. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    18. Michael Bates & Michael Dinerstein & Andrew C. Johnston & Isaac Sorkin, 2022. "Teacher Labor Market Equilibrium and Student Achievement," CESifo Working Paper Series 9551, CESifo.
    19. Diether W Beuermann & C Kirabo Jackson & Laia Navarro-Sola & Francisco Pardo, 2023. "What is a Good School, and Can Parents Tell? Evidence on the Multidimensionality of School Output," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 65-101.
    20. Ludger Wößmann, 2020. "Folgekosten ausbleibenden Lernens: Was wir über die Corona-bedingten Schulschließungen aus der Forschung lernen können," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(06), pages 38-44, June.

    More about this item

    Keywords

    Human capital; intergenerational mobility; value-added;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    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:pra:mprapa:89101. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.