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Math or Science? Using Longitudinal Expectations Data to Examine the Process of Choosing a College Major

  • Todd R. Stinebrickner
  • Ralph Stinebrickner

Due primarily to the difficulty of obtaining ideal data, much remains unknown about how college majors are determined. We take advantage of longitudinal expectations data from the Berea Panel Study to provide new evidence about this issue, paying particular attention to the choice of whether to major in math and science. The data collection and analysis are based directly on a simple conceptual model which takes into account that, from a theoretical perspective, a student's final major is best viewed as the end result of a learning process. We find that students enter college as open to a major in math or science as to any other major group, but that a large number of students move away from math and science after realizing that their grade performance will be substantially lower than expected. Further, changes in beliefs about grade performance arise because students realize that their ability in math/science is lower than expected rather than because students realize that they are not willing to put substantial effort into math or science majors. The findings suggest the potential importance of policies at younger ages which lead students to enter college better prepared to study math or science.

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File URL: http://www.nber.org/papers/w16869.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16869.

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Date of creation: Mar 2011
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Handle: RePEc:nbr:nberwo:16869
Note: ED
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  1. Asher A. Blass & Saul Lach & Charles F. Manski, 2010. "Using Elicited Choice Probabilities To Estimate Random Utility Models: Preferences For Electricity Reliability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 421-440, 05.
  2. Todd R. Stinebrickner & Ralph Stinebrickner, 2007. "The Effect of Credit Constraints on the College Drop-Out Decision A Direct Approach Using a New Panel Study," NBER Working Papers 13340, National Bureau of Economic Research, Inc.
  3. Kathy Cannings & Sophie Mahseredjian & Claude Montmarquette, 1997. "How Do Young People Choose College Majors ?," CIRANO Working Papers 97s-38, CIRANO.
  4. Jeff Dominitz, 1998. "Earnings Expectations, Revisions, And Realizations," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 374-388, August.
  5. Flavio Cunha & James J. Heckman & Salvador Navarro, 2005. "Separating Uncertainty from Heterogeneity in Life Cycle Earnings," NBER Working Papers 11024, National Bureau of Economic Research, Inc.
  6. V. Joseph Hotz & Peter Arcidiacono & Songman Kang, 2010. "Modeling College Major Choices Using Elicited Measures of Expectations and Counterfactuals," Working Papers 10-30, Duke University, Department of Economics.
  7. Jeff Dominitz & Charles F. Manski, 1994. "Using Expectations Data to Study Subjective Income Expectations," NBER Working Papers 4937, National Bureau of Economic Research, Inc.
  8. Jeff Dominitz & Charles F. Manski, 1996. "Eliciting Student Expectations of the Returns to Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 31(1), pages 1-26.
  9. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
  10. Todd Stinebrickner & Ralph Stinebrickner, 2001. "Time Use and College Outcomes," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20012, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
  11. Todd Stinebrickner & Ralph Stinebrickner, 2012. "Learning about Academic Ability and the College Dropout Decision," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 707 - 748.
  12. Carneiro, Pedro & Hansen, Karsten & Heckman, James, 2003. "Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice," Working Paper Series 2003:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  13. Basit Zafar, 2009. "How do college students form expectations?," Staff Reports 378, Federal Reserve Bank of New York.
  14. F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2, August.
  15. Jeff Dominitz & Charles F. Manski, 2003. "How Should We Measure Consumer Confidence (Sentiment)? Evidence from the Michigan Survey of Consumers," NBER Working Papers 9926, National Bureau of Economic Research, Inc.
  16. Jeff Dominitz & Charles F. Manski, 2004. "How Should We Measure Consumer Confidence?," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 51-66, Spring.
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