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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.
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    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.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0272775712000684
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    Bibliographic Info

    Article provided by Elsevier in its journal Economics of Education Review.

    Volume (Year): 31 (2012)
    Issue (Month): 5 ()
    Pages: 744-748

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    Handle: RePEc:eee:ecoedu:v:31:y:2012:i:5:p:744-748

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    Web page: http://www.elsevier.com/locate/econedurev

    Related research

    Keywords: Causal estimation; Education research; Research design;

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    1. Dee, Thomas S., 2004. "Are there civic returns to education?," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1697-1720, August.
    2. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," NBER Working Papers 7831, National Bureau of Economic Research, Inc.
    3. Dynarski, Susan, 2001. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," Working Paper Series rwp01-034, Harvard University, John F. Kennedy School of Government.
    4. Ludwig, Jens & Miller, Douglas L., 2006. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," IZA Discussion Papers 2111, Institute for the Study of Labor (IZA).
    5. 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.
    6. Alan B. Krueger, 1999. "Experimental Estimates Of Education Production Functions," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 497-532, May.
    7. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule To Estimate The Effect Of Class Size On Scholastic Achievement," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 533-575, May.
    8. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, American Economic Association, vol. 80(3), pages 313-36, June.
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