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Gender Differences in Predispositions towards Economics

Author

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  • Cynthia Bansak

    (Department of Economics, St. Lawrence University, 23 Romoda Drive, Canton, NY 13617, USA)

  • Martha Starr

    (Department of Economics, American University, 4400 Massachusetts Avenue NW, Washington, DC 20016, USA)

Abstract

Research has found that women tend to have more negative predispositions towards studying economics than men, which contributes to their underrepresentation in the field. This paper uses survey data on principles students at a large state university to investigate causes of this difference. We find that students widely view economics as a business-oriented field that prioritizes math skills and making money — a combination that is a turnoff for women, but not so much men. Thus, emphasizing uses of economics for social welfare analysis, while de-emphasizing its business applications, may help to rebalance predispositions at the outset of the principles class.

Suggested Citation

  • Cynthia Bansak & Martha Starr, 2010. "Gender Differences in Predispositions towards Economics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 36(1), pages 33-57.
  • Handle: RePEc:pal:easeco:v:36:y:2010:i:1:p:33-57
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1989. "The Revenues-Expenditures Nexus: Evidence from Local Government Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(2), pages 415-429, May.
    3. Robert A. Baade & Robert Baumann & Victor A. Matheson, 2008. "Selling the Game: Estimating the Economic Impact of Professional Sports through Taxable Sales," Southern Economic Journal, Southern Economic Association, vol. 74(3), pages 794-810, January.
    4. Victor Matheson, 2009. "Economic Multipliers and Mega-Event Analysis," International Journal of Sport Finance, Fitness Information Technology, vol. 4(1), pages 63-70, February.
    5. Dennis Coates, 2006. "The Tax Benefits of Hosting the Super Bowl and the MLB All-Star Game: The Houston Experience," International Journal of Sport Finance, Fitness Information Technology, vol. 1(4), pages 239-252, November.
    6. Dennis Coates & Brad R. Humphreys, 1999. "The growth effects of sport franchises, stadia, and arenas," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 18(4), pages 601-624.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, pages 115-143.
    8. Robert Baade & Robert Baumann & Victor Matheson, 2005. "Selling the Big Game: Estimating the Economic Impact of Mega-Events through Taxable Sales," Working Papers 0510, College of the Holy Cross, Department of Economics.
    9. Dennis Coates & Craig A. Depken, II, 2006. "Mega-Events: Is the Texas-Baylor game to Waco what the Super Bowl is to Houston?," Working Papers 0606, International Association of Sports Economists;North American Association of Sports Economists.
    10. Robert Baade & Victor Matheson, 2004. "The Quest for the Cup: Assessing the Economic Impact of the World Cup," Regional Studies, Taylor & Francis Journals, pages 343-354.
    11. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    12. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    13. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Victor Matheson & Robert Baade, 2004. "Padding Required: Assessing the Economic Impact of the Super Bowl," Working Papers 0403, College of the Holy Cross, Department of Economics.
    15. Frank Windmeijer, 2000. "A finite sample correction for the variance of linear two-step GMM estimators," IFS Working Papers W00/19, Institute for Fiscal Studies.
    16. Coates, Dennis & Humphreys, Brad R., 2003. "The effect of professional sports on earnings and employment in the services and retail sectors in US cities," Regional Science and Urban Economics, Elsevier, vol. 33(2), pages 175-198, March.
    17. Dennis Coates & Brad R. Humphreys, 2002. "The Economic Impact of Postseason Play in Professional Sports," Journal of Sports Economics, , vol. 3(3), pages 291-299, August.
    18. Robert A. Baade & Victor A. Matheson, 2001. "Home Run or Wild Pitch?," Journal of Sports Economics, , vol. 2(4), pages 307-327, November.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    20. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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