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Performance Information and Personnel Decisions in the Public Sector: The Case of School Principals

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Listed:
  • Julie Berry Cullen
  • Eric A. Hanushek
  • Gregory Phelan
  • Steven G. Rivkin
Abstract
In many settings, leaders are evaluated in contexts where complexities of production processes and conflicting pressures from interest groups pose challenges to performance evaluation. In education, school accountability systems assemble rich data and report both categorical rating and the underlying student pass rates that determine it, permitting direct investigation of how different information affects labor market outcomes of school leaders. Applying regression discontinuity methods that by design hold effectiveness constant, we find sizable positive impacts on Texas elementary school principal retention and salaries for crossing the unacceptable-acceptable boundary but not for crossing higher ratings cutoffs. The apparent information breakdown that leads to the unequal treatment of equals at the lowest boundary could raise the distribution of principal quality through disproportionate departures of less effective school leaders. However, there is substantial overlap in principal value-added distributions across rating categories, and failure to cross the acceptable threshold does not lead to future improvements in school performance. Supplementary analysis suggests that the labor market penalty to leading a school that receives the lowest rating is confined to the current district, where the stigma of a low rating is likely to be greatest.

Suggested Citation

  • Julie Berry Cullen & Eric A. Hanushek & Gregory Phelan & Steven G. Rivkin, 2016. "Performance Information and Personnel Decisions in the Public Sector: The Case of School Principals," NBER Working Papers 22881, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22881
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    References listed on IDEAS

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    1. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    2. 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.
    3. Miller, Ashley, 2013. "Principal turnover and student achievement," Economics of Education Review, Elsevier, vol. 36(C), pages 60-72.
    4. 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.
    5. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 175-214.
    6. David N. Figlio & Maurice E. Lucas, 2004. "What's in a Grade? School Report Cards and the Housing Market," American Economic Review, American Economic Association, vol. 94(3), pages 591-604, June.
    7. Hanley Chiang & Stephen Lipscomb & Brian Gill, 2014. "Is School Value Added Indicative of Principal Quality?," Mathematica Policy Research Reports a11ab111ac3a497885e0a736f, Mathematica Policy Research.
    8. Randall Reback & Julie Berry Cullen, 2006. "Tinkering toward accolades: School gaming under a performance accountability system," Working Papers 0601, Barnard College, Department of Economics.
    9. Eric A. Hanushek & EJohn F. Kain & Steven G. Rivkin, 2004. "Why Public Schools Lose Teachers," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    10. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    11. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    12. Eric A. Hanushek & Steven G. Rivkin, 2010. "Generalizations about Using Value-Added Measures of Teacher Quality," American Economic Review, American Economic Association, vol. 100(2), pages 267-271, May.
    13. Michael Bates, 2016. "Public and Private Learning in the Market for Teachers: Evidence from the Adoption of Value-Added Measures," Working Papers 201616, University of California at Riverside, Department of Economics.
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    Cited by:

    1. Jason A. Grissom & Brendan Bartanen, 2019. "Principal Effectiveness and Principal Turnover," Education Finance and Policy, MIT Press, vol. 14(3), pages 355-382, Summer.

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    More about this item

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets

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