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Do School Resources Matter Only for Older Workers?

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  • Betts, Julian R

Abstract

The literature that examines the impact of school spending on students' subsequent earnings is bifurcated into state-level studies, which typically find strong effects, and school-level studies, which find little effect. Since most of the school-level studies examine young workers, one explanation for the discrepancy is that school inputs benefit workers only as they gain job experience. This paper tests the hypothesis by using both school-level (National Longitudinal Survey of Youth) and state-level data sources (Census and the Biennial Survey of Education). Both data sets suggest that there is typically no significant age dependence. Thus other explanations of the discrepancy are likely to explain the differing results. Copyright 1996 by MIT Press.

Suggested Citation

  • Betts, Julian R, 1996. "Do School Resources Matter Only for Older Workers?," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 638-652, November.
    • Handle: RePEc:tpr:restat:v:78:y:1996:i:4:p:638-52
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    Cited by:

    1. Maria Iacovou, 2002. "Class Size in the Early Years: Is Smaller Really Better?," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 261-290.
    2. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.
    3. Constant, Amelie F. & Konstantopoulos, Spyros, 2002. "School Effects and Labor Market Outcomes for Young Adults in the 1980s and 1990s," IZA Discussion Papers 671, Institute of Labor Economics (IZA).
    4. Tobias, Justin L., 2002. "Model uncertainty and race and gender heterogeneity in the college entry decision," Economics of Education Review, Elsevier, vol. 21(3), pages 211-219, June.
    5. Justin Tobias, 2003. "The effects of cognitive ability and high school quality on college entry decisions: nonparametric estimation of parameters of interest," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 209-215.
    6. C. A. Olson & D. Ackerman, "undated". "High School Inputs and Labor Market Outcomes for Male Workers in Their Mid-Thirties: New Data and New Estimates from Wisconsin," Institute for Research on Poverty Discussion Papers 1205-00, University of Wisconsin Institute for Research on Poverty.
    7. Marlow, Michael L., 1999. "Spending, school structure, and public education quality. Evidence from California," Economics of Education Review, Elsevier, vol. 19(1), pages 89-106, February.
    8. Li Han & Mingxing Liu & Xuehui An, 2017. "Centralized Deployment and Teacher Incentives: Evidence from Reforms in Rural China," Economic Development and Cultural Change, University of Chicago Press, vol. 65(2), pages 297-337.
    9. Raaum, Oddbjørn & Salvanes, Kjell G. & Sørensen, Erik Ø., 2003. "The Impact of a Primary School Reform on Educational Stratification: A Norwegian Study of Neighbour and School Mate Correlations," IZA Discussion Papers 953, Institute of Labor Economics (IZA).
    10. Manuel Salas Velasco, 2004. "Rendimientos privados de las inversiones en educación superior a partir de ecuaciones de ingresos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 169(2), pages 87-117, June.
    11. M. Li & J. L. Tobias, 2003. "A semiparametric investigation of the school quality-gs relationship," Applied Economics Letters, Taylor & Francis Journals, vol. 10(1), pages 43-45.
    12. Bedi, Arjun Singh & Edwards, John H. Y., 2002. "The impact of school quality on earnings and educational returns--evidence from a low-income country," Journal of Development Economics, Elsevier, vol. 68(1), pages 157-185, June.
    13. Luis García & Sara Sánchez, 2020. "Acerca de la relación entre el gasto por alumno y los retornos a la educación en el Perú: un análisis por cohortes," Documentos de Trabajo / Working Papers 2020-482, Departamento de Economía - Pontificia Universidad Católica del Perú.
    14. Haegeland, Torbjørn & Raaum, Oddbjørn & Salvanes, Kjell G., 2005. "Pupil Achievement, School Resources and Family Background," IZA Discussion Papers 1459, Institute of Labor Economics (IZA).
    15. Torbjørn Hægeland & Oddbjørn Raaum & Kjell G. Salvanes, 2004. "Pupil achievement, school resources and family backgr," Discussion Papers 397, Statistics Norway, Research Department.
    16. Loeb, Susanna & Strunk, Katharine, 2003. "The Contribution of Administrative and Experimental Data to Education Policy Research," National Tax Journal, National Tax Association;National Tax Journal, vol. 56(2), pages 415-438, June.
    17. Eskil Heinesen & Brian Krogh Graversen, 2005. "The effect of school resources on educational attainment: evidence from Denmark," Bulletin of Economic Research, Wiley Blackwell, vol. 57(2), pages 109-143, April.
    18. Unnever, James D. & Kerckhoff, Allan C. & Robinson, Timothy J., 2000. "District variations in educational resources and student outcomes," Economics of Education Review, Elsevier, vol. 19(3), pages 245-259, June.
    19. Sander, William, 1999. "Endogenous expenditures and student achievement," Economics Letters, Elsevier, vol. 64(2), pages 223-231, August.

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