IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v24y2005i3p341-354.html
   My bibliography  Save this article

Gender differences in employment and earnings in science and engineering in the US

Author

Listed:
  • Graham, John W.
  • Smith, Steven A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Graham, John W. & Smith, Steven A., 2005. "Gender differences in employment and earnings in science and engineering in the US," Economics of Education Review, Elsevier, vol. 24(3), pages 341-354, June.
    • Handle: RePEc:eee:ecoedu:v:24:y:2005:i:3:p:341-354
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272-7757(04)00110-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    3. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    4. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    5. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    6. 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.
    7. Michael P. Kidd & Michael Shannon, 1996. "Does the Level of Occupational Aggregation Affect Estimates of the Gender Wage Gap?," ILR Review, Cornell University, ILR School, vol. 49(2), pages 317-329, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claire Bonnard, 2012. "The Access of the Young Graduates in Sciences into R&D Profession: A Switching Model Treatment for the French Case," LABOUR, CEIS, vol. 26(1), pages 46-65, March.
    2. Song, Moohoun & Orazem, Peter F. & Wohlgemuth, Darin, 2008. "The role of mathematical and verbal skills on the returns to graduate and professional education," Economics of Education Review, Elsevier, vol. 27(6), pages 664-675, December.
    3. Marlene Kim, 2013. "Race and ethnicity in the workplace," Chapters, in: Deborah M. Figart & Tonia L. Warnecke (ed.), Handbook of Research on Gender and Economic Life, chapter 14, pages 218-235, Edward Elgar Publishing.
    4. Lin, Eric S., 2010. "Gender wage gaps by college major in Taiwan: Empirical evidence from the 1997-2003 Manpower Utilization Survey," Economics of Education Review, Elsevier, vol. 29(1), pages 156-164, February.
    5. Dan A. Black & Amelia M. Haviland & Seth G. Sanders & Lowell J. Taylor, 2008. "Gender Wage Disparities among the Highly Educated," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 630-659.
    6. Garcia-Aracil, Adela & Winter, Carolyn, 2006. "Gender and ethnicity differentials in school attainment and labor market earnings in Ecuador," World Development, Elsevier, vol. 34(2), pages 289-307, February.
    7. Claire Bonnard, 2012. "The Access of the Young Graduates in Sciences into RD Profession: A Switching Model Treatment for the French Case," Post-Print halshs-00671315, HAL.
    8. Del Rossi, Alison F. & Hersch, Joni, 2008. "Double your major, double your return?," Economics of Education Review, Elsevier, vol. 27(4), pages 375-386, August.
    9. Shulamit Kahn & Donna Ginther, 2017. "Women and STEM," NBER Working Papers 23525, National Bureau of Economic Research, Inc.
    10. Jin Hwa Jung & Kang-Shik Choi, 2009. "Technological Change and Returns to Education: The Implications for the S&E Labor Market," Global Economic Review, Taylor & Francis Journals, vol. 38(2), pages 161-184.
    11. Rapoport, Benoît & Thibout, Claire, 2018. "Why do boys and girls make different educational choices? The influence of expected earnings and test scores," Economics of Education Review, Elsevier, vol. 62(C), pages 205-229.
    12. Mohanty, Smrutirekha, 2021. "A distributional analysis of the gender wage gap among technical degree and diploma holders in urban India," International Journal of Educational Development, Elsevier, vol. 80(C).
    13. Benoît Rapoport & Claire Thibout, 2016. "Why Do Boys and Girls Make Different Educational Choices? The Influence of Expected Earnings and Test Scores," Melbourne Institute Working Paper Series wp2016n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    14. John Graham & Steven Smith, 2004. "Looking for the next george washington carver: Explaining racial difference in employment and earnings in science and engineering in the United States," The Review of Black Political Economy, Springer;National Economic Association, vol. 32(1), pages 65-82, September.
    15. Krzysztof Kalisiak & Małgorzata Szreder & Kaja Białowąs, 2011. "Finansowy i niefinansowy zwrot z edukacji," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 77-102.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John Graham & Steven Smith, 2004. "Looking for the next george washington carver: Explaining racial difference in employment and earnings in science and engineering in the United States," The Review of Black Political Economy, Springer;National Economic Association, vol. 32(1), pages 65-82, September.
    2. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    3. Felicia Ionescu, 2011. "Risky Human Capital and Alternative Bankruptcy Regimes for Student Loans," Journal of Human Capital, University of Chicago Press, vol. 5(2), pages 153-206.
    4. Rosen, Harvey S, 1982. "Taxation and On-the-Job Training Decisions," The Review of Economics and Statistics, MIT Press, vol. 64(3), pages 442-449, August.
    5. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    6. P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
    7. Richter, Wolfram F., 2013. "Mincer Equation, Power Law of Learning, and Efficient Education Policy," IZA Discussion Papers 7280, Institute of Labor Economics (IZA).
    8. Christiansen, Charlotte & Joensen, Juanna Schroter & Nielsen, Helena Skyt, 2007. "The risk-return trade-off in human capital investment," Labour Economics, Elsevier, vol. 14(6), pages 971-986, December.
    9. Tobias Klein, 2013. "College education and wages in the U.K.: estimating conditional average structural functions in nonadditive models with binary endogenous variables," Empirical Economics, Springer, vol. 44(1), pages 135-161, February.
    10. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    11. David H. Autor & Michael J. Handel, 2013. "Putting Tasks to the Test: Human Capital, Job Tasks, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 59-96.
    12. Cunha, Flavio & Heckman, James J., 2007. "Identifying and Estimating the Distributions of Ex Post and Ex Ante Returns to Schooling," Labour Economics, Elsevier, vol. 14(6), pages 870-893, December.
    13. Barbara Ermini & Luca Papi & Francesca Scaturro, 2016. "Over-education among italian Ph.D. graduates. Does the crisis make a difference?," Mo.Fi.R. Working Papers 126, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    14. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    15. Arnaud Dupuy, 2015. "The Assignment of Workers to Tasks with Endogenous Supply of Skills," Economica, London School of Economics and Political Science, vol. 82(325), pages 24-45, January.
    16. Averett, Susan L. & Burton, Mark L., 1996. "College attendance and the college wage premium: Differences by gender," Economics of Education Review, Elsevier, vol. 15(1), pages 37-49, February.
    17. Glocker, Daniela & Storck, Johanna, 2014. "Risks and returns to educational fields – A financial asset approach to vocational and academic education," Economics of Education Review, Elsevier, vol. 42(C), pages 109-129.
    18. repec:lan:wpaper:4789 is not listed on IDEAS
    19. Rosalia Castellano & Gennaro Punzo, 2011. "Education and Earnings Differentials: The Role of Family Background Across European Countries," Working Papers 28, AlmaLaurea Inter-University Consortium.
    20. Gonzalo Castex, 2017. "College risk and return," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 91-112, October.
    21. Flávio Cunha & James Heckman, 2016. "Decomposing Trends in Inequality in Earnings into Forecastable and Uncertain Components," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 31-65.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:24:y:2005:i:3:p:341-354. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.