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Computers as Pedagogical Tools in Brazil: A Pseudo-panel Analysis

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  • Sprietsma, Maresa

Abstract

In this paper, we use repeated cross-section data on pupils in Brazil to estimate the effect of the availability and use of computers and internet as pedagogical tools on math and reading test scores. Computers are increasingly commonly used in schools and their effectiveness in improving learning is the subject of many recent evaluations in Europe and the US. We apply the pseudo panel technique to evaluate the effect of variation in the availability and use of computers and internet in Brazilian schools on pupils? test scores. --

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 07-040.

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Date of creation: 2007
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Handle: RePEc:zbw:zewdip:5699

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Keywords: Computers in schools; pupil performance;

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  1. Machin, Stephen & McNally, Sandra & Silva, Olmo, 2006. "New Technology in Schools: Is There a Payoff?," IZA Discussion Papers 2234, Institute for the Study of Labor (IZA).
  2. Verbeek, M. & Nijman, T., 1992. "Minimum MSE Estimatin of a Regression Model with Fixed Effects from a Series of Cross Sections," Papers 9201, Tilburg - Center for Economic Research.
  3. Austan Goolsbee & Jonathan Guryan, 2006. "The Impact of Internet Subsidies in Public Schools," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 336-347, May.
  4. Propper, Carol & Rees, Hedley & Green, Katherine, 2001. "The Demand for Private Medical Insurance in the UK: A Cohort Analysis," Economic Journal, Royal Economic Society, vol. 111(471), pages C180-200, May.
  5. Esther Duflo & Abhijit Banerjee & Shawn Cole & Leigh Linden, 2006. "Remedying Education: Evidence from Two Randomised Experiments in India," Working Papers id:360, eSocialSciences.
  6. Karl Taylor, 2002. "The impact of technology and trade upon the returns to education and occupation," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1371-1377.
  7. Grün, Carola, 2003. "Racial and Gender Wage Differentials in South Africa: What can Cohort Data tell?," Discussion Papers in Economics 85, University of Munich, Department of Economics.
  8. Angrist, Joshua & Lavy, Victor, 2001. "New Evidence on Classroom Computers and Pupil Learning," IZA Discussion Papers 362, Institute for the Study of Labor (IZA).
  9. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
  10. Propper, Carol, 2000. "The demand for private health care in the UK," Journal of Health Economics, Elsevier, vol. 19(6), pages 855-876, November.
  11. Jane Waldfogel & Christina Paxson, 1999. "Parental Resources and Child Abuse and Neglect," American Economic Review, American Economic Association, vol. 89(2), pages 239-244, May.
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Cited by:
  1. Hyland, Marie & Layte, Richard & Lyons, Sean & McCoy, Selina & Silles, Mary, 2013. "Are classroom internet use and academic performance higher after government broadband subsidies to primary schools?," 24th European Regional ITS Conference, Florence 2013 88520, International Telecommunications Society (ITS).

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