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Analyzing the factors that influence persistence rates in STEM field, majors: Introduction to the symposium

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  • Ehrenberg, Ronald G.

Abstract

To improve our understanding of the factors that influence persistence rates in STEM field majors, the Alfred P. Sloan Foundation provided a grant to the Cornell Higher Education Research Institute in 2007 to study the question. The five papers in the symposium represent the output of the project. This introduction explains the motivation for undertaking the study, describes the questions the researchers asked and the data bases they used in their studies, summarizes their findings, and suggests directions for future research.

Suggested Citation

  • Ehrenberg, Ronald G., 2010. "Analyzing the factors that influence persistence rates in STEM field, majors: Introduction to the symposium," Economics of Education Review, Elsevier, vol. 29(6), pages 888-891, December.
    • Handle: RePEc:eee:ecoedu:v:29:y:2010:i:6:p:888-891
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    References listed on IDEAS

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    1. Price, Joshua, 2010. "The effect of instructor race and gender on student persistence in STEM fields," Economics of Education Review, Elsevier, vol. 29(6), pages 901-910, December.
    2. Webber, Douglas A. & Ehrenberg, Ronald G., 2010. "Do expenditures other than instructional expenditures affect graduation and persistence rates in American higher education?," Economics of Education Review, Elsevier, vol. 29(6), pages 947-958, December.
    3. Paul M. Romer, 2001. "Should the Government Subsidize Supply or Demand in the Market for Scientists and Engineers?," NBER Chapters, in: Innovation Policy and the Economy, Volume 1, pages 221-252, National Bureau of Economic Research, Inc.
    4. Kokkelenberg, Edward C. & Sinha, Esha, 2010. "Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students," Economics of Education Review, Elsevier, vol. 29(6), pages 935-946, December.
    5. Rask, Kevin, 2010. "Attrition in STEM fields at a liberal arts college: The importance of grades and pre-collegiate preferences," Economics of Education Review, Elsevier, vol. 29(6), pages 892-900, December.
    6. Griffith, Amanda L., 2010. "Persistence of women and minorities in STEM field majors: Is it the school that matters?," Economics of Education Review, Elsevier, vol. 29(6), pages 911-922, December.
    7. Ost, Ben, 2010. "The role of peers and grades in determining major persistence in the sciences," Economics of Education Review, Elsevier, vol. 29(6), pages 923-934, December.
    8. Rask, Kevin & Tiefenthaler, Jill, 2008. "The role of grade sensitivity in explaining the gender imbalance in undergraduate economics," Economics of Education Review, Elsevier, vol. 27(6), pages 676-687, December.
    9. Alexandra C. Achen & Paul N. Courant, 2009. "What Are Grades Made Of?," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 77-92, Summer.
    10. Talia Bar & Vrinda Kadiyali & Asaf Zussman, 2009. "Grade Information and Grade Inflation: The Cornell Experiment," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 93-108, Summer.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Chise Diana & Fort Margherita & Monfardini Chiara, 2021. "On the Intergenerational Transmission of STEM Education among Graduate Students," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(1), pages 115-145, January.
    2. Erica Blom & Brian C. Cadena & Benjamin J. Keys, 2021. "Investment over the Business Cycle: Insights from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 1043-1082.
    3. Hill, Andrew J., 2017. "State affirmative action bans and STEM degree completions," Economics of Education Review, Elsevier, vol. 57(C), pages 31-40.
    4. Diana Chise & Margherita Fort & Chiara Monfardini, 2020. "Scientifico! like Dad: On the Intergenerational Transmission of STEM Education," FBK-IRVAPP Working Papers 2020-01, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    5. Zachary Bleemer, 2022. "Affirmative Action, Mismatch, and Economic Mobility after California’s Proposition 209," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(1), pages 115-160.
    6. Romina B. Da Costa & Nelly P. Stromquist, 2017. "Framing Engineering: The Role of College Website Descriptions," Social Sciences, MDPI, vol. 7(1), pages 1-19, December.
    7. Bottia, Martha Cecilia & Stearns, Elizabeth & Mickelson, Roslyn Arlin & Moller, Stephanie & Valentino, Lauren, 2015. "Growing the roots of STEM majors: Female math and science high school faculty and the participation of students in STEM," Economics of Education Review, Elsevier, vol. 45(C), pages 14-27.
    8. Biewen, Martin & Schwerter, Jakob, 2019. "Does More Math in High School Increase the Share of Female STEM Workers? Evidence from a Curriculum Reform," IZA Discussion Papers 12236, Institute of Labor Economics (IZA).
    9. Amuedo-Dorantes, Catalina & Furtado, Delia & Xu, Huanan, 2018. "Did OPT Policy Changes Help Steer and Retain Foreign Talent into Stem?," IZA Discussion Papers 11548, Institute of Labor Economics (IZA).
    10. Jessica Ellis & Bailey K Fosdick & Chris Rasmussen, 2016. "Women 1.5 Times More Likely to Leave STEM Pipeline after Calculus Compared to Men: Lack of Mathematical Confidence a Potential Culprit," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-14, July.
    11. D. Chise & M. Fort & C. Monfardini, 2019. "Scientifico! like Dad: On the Intergenerational Transmission of STEM Education in Italy," Working Papers wp1138, Dipartimento Scienze Economiche, Universita' di Bologna.

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    Keywords

    Persistence STEM majors Gender Race;

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