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The Effect of Measured School Inputs on Academic Achievement: Evidence form the 1920s, 1930s and 1940s Birth Cohorts

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  • Loeb, Susanna
  • Bound, John

Abstract

The study presented here uses data from the NORC General Social Surveys to explore the effects of measurable school characteristics on student achievement. What separates this study from many others is the use of aggregate data on older cohorts, usually associated with research on the influence of school inputs on earnings. The authors find substantively large effects, similar in size to those found in many earnings-focused studies. Their results point to the importance of aggregation in modeling the relationship between school inputs and student outcomes, bringing into question causal interpretations of the results of studies using aggregate data to assess school input effects. Copyright 1996 by MIT Press.

Suggested Citation

  • Loeb, Susanna & Bound, John, 1996. "The Effect of Measured School Inputs on Academic Achievement: Evidence form the 1920s, 1930s and 1940s Birth Cohorts," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 653-664, November.
  • Handle: RePEc:tpr:restat:v:78:y:1996:i:4:p:653-64
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    References listed on IDEAS

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    1. Griliches, Zvi & Mason, William M, 1972. "Education, Income, and Ability," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 74-103, Part II, .
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    3. Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996. "Aggregation and the Estimated Effects of School Resources," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
    4. George E. Johnson & Frank P. Stafford, 1973. "Social Returns to Quantity and Quality of Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 8(2), pages 139-155.
    5. Victor R. Fuchs & Diane M. Reklis, 1994. "Mathematical Achievement in Eighth Grade: Interstate and Racial Differences," NBER Working Papers 4784, National Bureau of Economic Research, Inc.
    6. Orazem, Peter F, 1987. "Black-White Differences in Schooling Investment and Human Capital Production in Segregated Schools," American Economic Review, American Economic Association, vol. 77(4), pages 714-723, September.
    7. John S. Akin & Irwin Garfinkel, 1977. "School Expenditures and the Economic Returns to Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 12(4), pages 460-481.
    8. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    9. Amemiya, Takeshi, 1978. "A Note on a Random Coefficients Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 793-796, October.
    10. Betts, Julian R, 1995. "Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 231-250, May.
    11. Grogger, Jeff, 1996. "Does School Quality Explain the Recent Black/White Wage Trend?," Journal of Labor Economics, University of Chicago Press, vol. 14(2), pages 231-253, April.
    12. Zvi Griliches, 1970. "Notes on the Role of Education in Production Functions and Growth Accounting," NBER Chapters,in: Education, Income, and Human Capital, pages 71-127 National Bureau of Economic Research, Inc.
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    Cited by:

    1. J. M. C. Santos Silva & Silvana Tenreyro, 2003. "Gravity-defying trade," Working Papers 03-1, Federal Reserve Bank of Boston.
    2. Rucker C. Johnson & C. Kirabo Jackson, 2017. "Reducing Inequality Through Dynamic Complementarity: Evidence from Head Start and Public School Spending," NBER Working Papers 23489, National Bureau of Economic Research, Inc.
    3. Steven Bradley & Robert Crouchley, 2017. "The effects of test scores and truancy on youth unemployment and inactivity: A simultaneous equations approach," Working Papers 189398493, Lancaster University Management School, Economics Department.
    4. Jeffrey A. Frankel & Andrew K. Rose, 2000. "Estimating the Effect of Currency Unions on Trade and Output," NBER Working Papers 7857, National Bureau of Economic Research, Inc.
    5. Michele Campolieti Campolieti, 2003. "Disability insurance eligibility criteria and the labor supply of older men," Economics Bulletin, AccessEcon, vol. 10(3), pages 1-7.
    6. C. Kirabo Jackson & Rucker C. Johnson & Claudia Persico, 2016. "The Effects of School Spending on Educational and Economic Outcomes: Evidence from School Finance Reforms," The Quarterly Journal of Economics, Oxford University Press, vol. 131(1), pages 157-218.
    7. Jeffrey A. Frankel, 2000. "Globalization of the Economy," NBER Working Papers 7858, National Bureau of Economic Research, Inc.
    8. repec:pri:rpdevs:deaton_lubotsky_mortality_inequality_and_race_in_american_cities_and_stat is not listed on IDEAS
    9. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    10. Michele Campolieti, 2004. "Disability Insurance Benefits and Labor Supply: Some Additional Evidence," Journal of Labor Economics, University of Chicago Press, vol. 22(4), pages 863-890, October.

    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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