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Schooling and the AFQT: Evidence from School Entry Laws

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Author Info
Elizabeth U. Cascio
Ethan G. Lewis
Abstract

Is the Armed Forces Qualifying Test (AFQT) a measure of achievement or ability? The answer to this question is critical for drawing inferences from studies in which it is employed. In this paper, we test for a relationship between schooling and AFQT performance in the NLSY 79 by comparing test-takers with birthdays near state cutoff dates for school entry. We instrument for schooling at the test date with academic cohort - the year in which an individual should have entered first grade - in a model that allows age at the test date to have a direct effect on AFQT performance. This identification strategy reveals large impacts of schooling on the AFQT performance of racial minorities, providing support for the hypothesis that the AFQT measures school achievement.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 11113.

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Date of creation: Feb 2005
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Handle: RePEc:nbr:nberwo:11113

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Find related papers by JEL classification:
I20 - Health, Education, and Welfare - - Education - - - General
J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities and Races; Non-labor Discrimination

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Hansen, Karsten T. & Heckman, James J. & Mullen, Kathleen J., 2003. "The Effect of Schooling and Ability on Achievement Test Scores," IZA Discussion Papers 826, Institute for the Study of Labor (IZA). [Downloadable!]
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  2. Petra E. Todd & Kenneth I. Wolpin, 2004. "The Production of Cognitive Achievement in Children: Home, School and Racial Test Score Gaps," PIER Working Paper Archive 04-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania. [Downloadable!]
  3. Heckman, James J, 1995. "Lessons from the Bell Curve," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1091-1120, October. [Downloadable!] (restricted)
  4. Roland G. Fryer & Steven D. Levitt, 2004. "Understanding the Black-White Test Score Gap in the First Two Years of School," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 447-464, 06. [Downloadable!] (restricted)
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  5. Richard J. Murnane & John B. Willett & Frank Levy, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," NBER Working Papers 5076, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  6. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March. [Downloadable!] (restricted)
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Elizabeth U. Cascio, 2005. "School Progression and the Grade Distribution of Students: Evidence from the Current Population Survey," IZA Discussion Papers 1747, Institute for the Study of Labor (IZA). [Downloadable!]
  2. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs in Economics," NBER Working Papers 14723, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  3. David Loughran & Ashlesha Datar & M. Kilburn, 2008. "The response of household parental investment to child endowments," Review of Economics of the Household, Springer, vol. 6(3), pages 223-242, September. [Downloadable!] (restricted)
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