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Preferences, Selection, and Value Added: A Structural Approach

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  • Saziye P. Akyol
  • Kala Krishna

Abstract

This paper investigates two main questions: i) What do applicants take into consideration when choosing a high school? ii) To what extent do schools contribute to their students' academic success? To answer these questions, we model students' preferences and derive demand for each school by taking each student's feasible set of schools into account. We obtain average valuation placed on each school from market clearing conditions. Next, we investigate what drives these valuations by carefully controlling for endogeneity using a set of creative instruments suggested by our model. Finally, controlling for mean reversion bias, we look at each school's value-added. We find that students infer the quality of a school from its selectivity and past performance on the university entrance exam. However, the evidence on the value- added by schools shows that highly valued or selective schools do not have high value- added on their students' academic outcomes.

Suggested Citation

  • Saziye P. Akyol & Kala Krishna, 2014. "Preferences, Selection, and Value Added: A Structural Approach," NBER Working Papers 20013, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20013
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    1. Weili Ding & Steven F. Lehrer, 2007. "Do Peers Affect Student Achievement in China's Secondary Schools?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 300-312, May.
    2. Will Dobbie & Roland G. Fryer, Jr., 2011. "Exam High Schools and Academic Achievement: Evidence from New York City," NBER Working Papers 17286, National Bureau of Economic Research, Inc.
    3. Stephen W. Raudenbush, 2004. "What Are Value-Added Models Estimating and What Does This Imply for Statistical Practice?," Journal of Educational and Behavioral Statistics, , vol. 29(1), pages 121-129, March.
    4. Kenneth Y. Chay & Patrick J. McEwan & Miguel Urquiola, 2005. "The Central Role of Noise in Evaluating Interventions That Use Test Scores to Rank Schools," American Economic Review, American Economic Association, vol. 95(4), pages 1237-1258, September.
    5. Jeffrey E. Zabel, 2008. "The Impact of Peer Effects on Student Outcomes in New York City Public Schools," Education Finance and Policy, MIT Press, vol. 3(2), pages 197-249, April.
    6. Clark Damon, 2010. "Selective Schools and Academic Achievement," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-40, February.
    7. Cullen, Julie Berry & Jacob, Brian A. & Levitt, Steven D., 2005. "The impact of school choice on student outcomes: an analysis of the Chicago Public Schools," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 729-760, June.
    8. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    9. Annette Alstadsæter, 2011. "Measuring the Consumption Value of Higher Education," CESifo Economic Studies, CESifo Group, vol. 57(3), pages 458-479, September.
    10. Justine S. Hastings & Christopher A. Neilson & Seth D. Zimmerman, 2012. "The Effect of School Choice on Intrinsic Motivation and Academic Outcomes," Working Papers 2012-3, Princeton University. Economics Department..
    11. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    12. Simon Burgess & Ellen Greaves & Anna Vignoles & Deborah Wilson, 2015. "What Parents Want: School Preferences and School Choice," Economic Journal, Royal Economic Society, vol. 125(587), pages 1262-1289, September.
    13. C. Kirabo Jackson, 2010. "Do Students Benefit from Attending Better Schools? Evidence from Rule-based Student Assignments in Trinidad and Tobago," Economic Journal, Royal Economic Society, vol. 120(549), pages 1399-1429, December.
    14. Darling-Hammond, Linda & Amrein-Beardsley, Audrey & Haertel, Edward & Rothstein, Jesse, 2012. "Evaluating Teacher Evaluation," Department of Economics, Working Paper Series qt63n8q20q, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    15. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    16. Kala Krishna & Alexander Tarasov, 2016. "Affirmative Action: One Size Does Not Fit All," American Economic Journal: Microeconomics, American Economic Association, vol. 8(2), pages 215-252, May.
    17. Andrew Bacher-Hicks & Thomas J. Kane & Douglas O. Staiger, 2014. "Validating Teacher Effect Estimates Using Changes in Teacher Assignments in Los Angeles," NBER Working Papers 20657, National Bureau of Economic Research, Inc.
    18. Caner, Asena & Okten, Cagla, 2013. "Higher education in Turkey: Subsidizing the rich or the poor?," Economics of Education Review, Elsevier, vol. 35(C), pages 75-92.
    19. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    20. 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.
    21. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    22. Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2006. "Preferences and Heterogeneous Treatment Effects in a Public School Choice Lottery," NBER Working Papers 12145, National Bureau of Economic Research, Inc.
    23. Stacy Dale & Alan B. Krueger, "undated". "Estimating the Return to College Selectivity Over the Career Using Administrative Earning Data," Mathematica Policy Research Reports d76ec29a0bbb4b1bb9d285b5a, Mathematica Policy Research.
    24. Kang, Changhui, 2007. "Classroom peer effects and academic achievement: Quasi-randomization evidence from South Korea," Journal of Urban Economics, Elsevier, vol. 61(3), pages 458-495, May.
    25. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1491-1527.
    26. W. Bentley MacLeod & Miguel Urquiola, 2009. "Anti-Lemons: School Reputation and Educational Quality," NBER Working Papers 15112, National Bureau of Economic Research, Inc.
    27. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    28. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, September.
    29. David Card & Laura Giuliano, 2014. "Does Gifted Education Work? For Which Students?," NBER Working Papers 20453, National Bureau of Economic Research, Inc.
    30. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    31. repec:mpr:mprres:6922 is not listed on IDEAS
    32. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    33. repec:pri:indrel:dsp01gf06g265z is not listed on IDEAS
    34. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    35. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    36. Verónica C. Frisancho Robles & Kala Krishna, 2012. "Affirmative Action in Higher Education in India: Targeting, Catch Up, and Mismatch," NBER Working Papers 17727, National Bureau of Economic Research, Inc.
    37. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
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    Cited by:

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    2. Aue, Robert & Klein, Thilo & Ortega, Josué, 2020. "What happens when separate and unequal school districts merge?," ZEW Discussion Papers 20-032, ZEW - Leibniz Centre for European Economic Research.
    3. Gabrielle Fack & Julien Grenet & Yinghua He, 2019. "Beyond Truth-Telling: Preference Estimation with Centralized School Choice and College Admissions," American Economic Review, American Economic Association, vol. 109(4), pages 1486-1529, April.
    4. Julien Combe & Olivier Tercieux & Camille Terrier, 2022. "The Design of Teacher Assignment: Theory and Evidence [House Allocation with Existing Tenants]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 3154-3222.
    5. Nikhil Agarwal & Paulo J. Somaini, 2019. "Revealed Preference Analysis of School Choice Models," NBER Working Papers 26568, National Bureau of Economic Research, Inc.
    6. Tong Wang & Congyi Zhou, 2020. "High school admission reform in China: a welfare analysis," Review of Economic Design, Springer;Society for Economic Design, vol. 24(3), pages 215-269, December.
    7. Aue, Robert & Bach, Maximilian & Heigle, Julia & Klein, Thilo & Pfeiffer, Friedhelm & Zapp, Kristina, 2020. "The implication of school admission rules for segregation and educational inequality: Research report," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 223254.
    8. Thierry Magnac, 2018. "Quels étudiants pour quelles universités ? Analyses empiriques de mécanismes d’allocation centralisée," Revue économique, Presses de Sciences-Po, vol. 69(5), pages 683-708.
    9. Ahmet Alkan & Sinan Sarpça & Sinan Sarpca, 2023. "Effects of High-Achieving Peers: Findings from a National High School Assignment System," CESifo Working Paper Series 10794, CESifo.
    10. Julien Combe & Umut Mert Dur & Olivier Tercieux & Camille Terrier & M. Utku Ünver, 2022. "Market Design for Distributional Objectives in (Re)assignment: An Application to Improve the Distribution of Teachers in Schools," Boston College Working Papers in Economics 1050, Boston College Department of Economics.
    11. Nikhil Agarwal & Eric Budish, 2021. "Market Design," NBER Working Papers 29367, National Bureau of Economic Research, Inc.
    12. Hayri A. Arslan, 2021. "Preference estimation in centralized college admissions from reported lists," Empirical Economics, Springer, vol. 61(5), pages 2865-2911, November.
    13. repec:hal:cesptp:halshs-01215998 is not listed on IDEAS
    14. Bertoni, Marco & Gibbons, Stephen & Silva, Olmo, 2017. "School Choice during a Period of Radical School Reform: Evidence from the Academy Programme," IZA Discussion Papers 11162, Institute of Labor Economics (IZA).
    15. Georgy Artemov & Yeon-Koo Che & YingHua He, 2023. "Stable Matching with Mistaken Agents," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(2), pages 270-320.
    16. Eduardo Duque & Juan Pablo Torres-Martinez, 2022. "The Strong Effects of Weak Externalities on School Choice," Working Papers wp542, University of Chile, Department of Economics.

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    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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