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Academic achievement, technology and race: Experimental evidence

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  • Fairlie, Robert W.

Abstract

Although a large literature explores the achievement gap between minority and non-minority students, very little is known about whether disparities in access to technology are partly responsible. Data from the first-ever field experiment involving the random provision of free computers to low-income community college students for home use are used to explore whether home computers are beneficial to minority students. I find that minority students receiving free computers achieved better educational outcomes than the control group that did not receive free computers. Minority students may have benefitted more from receiving free computers because of fewer alternatives for accessing home computers due to lower rates of computer ownership among family, friends, and relatives. Implications for the achievement gap and policy are discussed.

Suggested Citation

  • Fairlie, Robert W., 2012. "Academic achievement, technology and race: Experimental evidence," Economics of Education Review, Elsevier, vol. 31(5), pages 663-679.
  • Handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:663-679
    DOI: 10.1016/j.econedurev.2012.04.003
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    References listed on IDEAS

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    1. Robert W. Fairlie & Rebecca A. London, 2012. "The Effects of Home Computers on Educational Outcomes: Evidence from a Field Experiment with Community College Students," Economic Journal, Royal Economic Society, vol. 122(561), pages 727-753, June.
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    6. Fairlie Robert W, 2004. "Race and the Digital Divide," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-40, September.
    7. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
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    9. Zavodny, Madeline, 2006. "Does watching television rot your mind? Estimates of the effect on test scores," Economics of Education Review, Elsevier, vol. 25(5), pages 565-573, October.
    10. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    11. James E. Prieger, 2003. "The Supply Side of the Digital Divide: Is There Equal Availability in the Broadband Internet Access Market?," Economic Inquiry, Western Economic Association International, vol. 41(2), pages 346-363, April.
    12. Hiroshi Ono & Madeline Zavodny, 2003. "Race, internet usage, and e-commerce," The Review of Black Political Economy, Springer;National Economic Association, vol. 30(3), pages 7-22, December.
    13. Robert W. Fairlie & Daniel O. Beltran & Kuntal K. Das, 2010. "HOME COMPUTERS AND EDUCATIONAL OUTCOMES: EVIDENCE FROM THE NLSY97 and CPS," Economic Inquiry, Western Economic Association International, vol. 48(3), pages 771-792, July.
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    Cited by:

    1. Hull, Marie C. & Duch, Katherine, 2017. "One-To-One Technology and Student Outcomes," IZA Discussion Papers 10886, Institute of Labor Economics (IZA).
    2. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    3. Yi Lu & Hong Song, 2020. "The effect of educational technology on college students’ labor market performance," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 1101-1126, July.
    4. Nick Huntington-Klein & Andrew Gill, 2021. "Semester Course Load and Student Performance," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(5), pages 623-650, August.
    5. Patterson, Richard W. & Patterson, Robert M., 2017. "Computers and productivity: Evidence from laptop use in the college classroom," Economics of Education Review, Elsevier, vol. 57(C), pages 66-79.
    6. Fairlie, Robert W., 2012. "The effects of home access to technology on computer skills: Evidence from a field experiment," Information Economics and Policy, Elsevier, vol. 24(3), pages 243-253.

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    More about this item

    Keywords

    Race; Technology; Achievement gap; Experiment;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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