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Methods matter: Improving causal inference in educational and social science research: A review article

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  • Eide, Eric R.
  • Showalter, Mark H.

Abstract

Professors Richard J. Murnane and John B. Willett set out to capitalize on recent developments in education data and methodology by attempting to answer the following questions: How can new methods and data be applied most effectively in educational and social science research? What kinds of research designs are most appropriate? What kinds of data are needed? What statistical methods are best used to process these data, and how can results be interpreted so that policymakers are best informed? In this review we summarize main contributions of the book, assess the unique value-added of the text, and discuss the usability of it to various potential audiences.

Suggested Citation

  • Eide, Eric R. & Showalter, Mark H., 2012. "Methods matter: Improving causal inference in educational and social science research: A review article," Economics of Education Review, Elsevier, vol. 31(5), pages 744-748.
    • Handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:744-748
    DOI: 10.1016/j.econedurev.2012.05.010
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    References listed on IDEAS

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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
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    5. Susan M. Dynarski, 2003. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," American Economic Review, American Economic Association, vol. 93(1), pages 279-288, March.
    6. Eide, Eric R. & Showalter, Mark H., 2011. "Estimating the relation between health and education: What do we know and what do we need to know?," Economics of Education Review, Elsevier, vol. 30(5), pages 778-791, October.
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    Cited by:

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    More about this item

    Keywords

    Causal estimation; Education research; Research design;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • I2 - Health, Education, and Welfare - - Education

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