IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v51y2017i6d10.1007_s11135-016-0409-z.html
   My bibliography  Save this article

Gender digital divide in a patriarchal society: what can we learn from Blinder–Oaxaca decomposition?

Author

Listed:
  • Wun-Ji Jiang

    (Chung-Hua Institution for Economic Research)

  • Yir-Hueih Luh

    (National Taiwan University)

Abstract

Based on the self-reported usage time, this paper aims at analyzing the gender differences in computer and internet use at home. Using data from the 2012 Survey of Digital Divide in Taiwan, we apply a regression-based decomposition method to identify the underlying causes of observed usage differential between males and females. Conditioned on adoption, it is found that compared with their high-income counterparts, low-income females in Taiwan do not spend more time on internet surfing as a result of the high opportunity cost of leisure time. A further decomposition analysis suggests while the gender-specific factors are not the main causes of gender differences in computer and internet use, differences in internet experience and opportunity cost of leisure time between the two gender groups are root causes of observed gender usage differential. The present study adds to the literature by providing a framework that can be easily extended to understanding the root causes, such as that of gender digital divide, for patriarchal societies where female self-stereotyping is a pronounced problem.

Suggested Citation

  • Wun-Ji Jiang & Yir-Hueih Luh, 2017. "Gender digital divide in a patriarchal society: what can we learn from Blinder–Oaxaca decomposition?," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2555-2576, November.
    • Handle: RePEc:spr:qualqt:v:51:y:2017:i:6:d:10.1007_s11135-016-0409-z
    DOI: 10.1007/s11135-016-0409-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-016-0409-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-016-0409-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. F. L. Jones, 1983. "On Decomposing the Wage Gap: A Critical Comment on Blinder's Method," Journal of Human Resources, University of Wisconsin Press, vol. 18(1), pages 126-130.
    3. Sean Lyons, 2014. "Timing and determinants of local residential broadband adoption: evidence from Ireland," Empirical Economics, Springer, vol. 47(4), pages 1341-1363, December.
    4. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    5. Javier Gardeazabal & Arantza Ugidos, 2004. "More on Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 1034-1036, November.
    6. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    7. Feldman, Laurence P & Hornik, Jacob, 1981. "The Use of Time: An Integrated Conceptual Model," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(4), pages 407-419, March.
    8. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    9. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    10. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    13. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    14. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    15. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    16. Hitt, Lorin & Tambe, Prasanna, 2007. "Broadband adoption and content consumption," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 362-378, October.
    17. Gregory M. Duncan & Duane E. Leigh, 1980. "Wage Determination in the Union and Nonunion Sectors: A Sample Selectivity Approach," ILR Review, Cornell University, ILR School, vol. 34(1), pages 24-34, October.
    18. Trevor Roycroft, 2013. "Empirical study of broadband adoption using data from the 2009 Residential Energy Consumption Survey," Journal of Regulatory Economics, Springer, vol. 43(2), pages 214-228, April.
    19. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
    20. Drouard, Joeffrey, 2011. "Costs or gross benefits? - What mainly drives cross-sectional variance in Internet adoption," Information Economics and Policy, Elsevier, vol. 23(1), pages 127-140, March.
    21. William C. Horrace & Ronald L. Oaxaca, 2001. "Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem," ILR Review, Cornell University, ILR School, vol. 54(3), pages 611-618, April.
    22. Dickerson, Mary Dee & Gentry, James W, 1983. "Characteristics of Adopters and Non-Adopters of Home Computers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 225-235, September.
    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. Hina Amber & Bezawit Beyene Chichaibelu, 2023. "Narrowing the gender digital divide in Pakistan: Mobile phone ownership and female labor force participation," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1354-1382, August.
    2. Meghaan R. Lurtz & Derek T. Tharp & Katherine S. Mielitz & Michael Kitces & D. Allen Ammerman, 2020. "Decomposing the Gender Divorce Gap Among Personal Financial Planners," Journal of Family and Economic Issues, Springer, vol. 41(1), pages 19-36, March.

    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. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    2. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    3. Ronald Bachmann & Mathias Sinning, 2016. "Decomposing the Ins and Outs of Cyclical Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 853-876, December.
    4. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    5. C Dougherty, 2003. "Why is the Rate of Return to Schooling Higher For Women Than For Men?," CEP Discussion Papers dp0581, Centre for Economic Performance, LSE.
    6. Adam Pilny, 2017. "Explaining Differentials in Subsidy Levels Among Hospital Ownership Types in Germany," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 566-581, May.
    7. Bonaccolto-Töpfer, Marina & Briel, Stephanie, 2022. "The gender pay gap revisited: Does machine learning offer new insights?," Labour Economics, Elsevier, vol. 78(C).
    8. ChangHwan Kim, 2010. "Decomposing the Change in the Wage Gap Between White and Black Men Over Time, 1980-2005: An Extension of the Blinder-Oaxaca Decomposition Method," Sociological Methods & Research, , vol. 38(4), pages 619-651, May.
    9. Michael Weber & Jan Kluge, 2015. "Decomposing the German East-West wage gap," ERSA conference papers ersa15p636, European Regional Science Association.
    10. Myeong-Su Yun & Eric S. Lin, 2015. "Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach," Pacific Economic Review, Wiley Blackwell, vol. 20(4), pages 569-587, October.
    11. Ian Watson, 2010. "Decomposing the Gender Pay Gap in the Australian Managerial Labour Market," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 13(1), pages 49-79.
    12. Stewart Williams, Jennifer Anne, 2009. "Using non-linear decomposition to explain the discriminatory effects of male-female differentials in access to care: A cardiac rehabilitation case study," Social Science & Medicine, Elsevier, vol. 69(7), pages 1072-1079, October.
    13. Sami Napari, 2008. "The Early‐career Gender Wage Gap among University Graduates in the Finnish Private Sector," LABOUR, CEIS, vol. 22(4), pages 697-733, December.
    14. Jacqueline Agesa & Richard Agesa, 1999. "Gender differences in the incidence of rural to urban migration: Evidence from Kenya," Journal of Development Studies, Taylor & Francis Journals, vol. 35(6), pages 36-58.
    15. Dougherty, Christopher, 2003. "Why is the rate of return to schooling higher for women than for men?," LSE Research Online Documents on Economics 20034, London School of Economics and Political Science, LSE Library.
    16. Günalp, Burak & Cilasun, Seyit Mümin & Acar, Elif Öznur, 2013. "Male-Female Labor Market Participation and the Extent of Gender-Based Wage Discrimination in Turkey," MPRA Paper 51503, University Library of Munich, Germany.
    17. Shoshana Neuman & Ronald Oaxaca, 2004. "Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(1), pages 3-10, April.
    18. Dominique Meurs & Sophie Ponthieux, 2006. "L'écart des salaires entre les femmes et les hommes peut-il encore baisser ?," Économie et Statistique, Programme National Persée, vol. 398(1), pages 99-129.
    19. Neuman, Shoshana & Oaxaca, Ronald L, 2004. "Wage Differentials in the 1990s in Israel: Endowments, Discrimination and Selectivity," CEPR Discussion Papers 4709, C.E.P.R. Discussion Papers.
    20. Brian A. Jacob, 2002. "Where the boys aren't: Non-cognitive skills, returns to school and the gender gap in higher education," NBER Working Papers 8964, National Bureau of Economic Research, Inc.

    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:spr:qualqt:v:51:y:2017:i:6:d:10.1007_s11135-016-0409-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.