IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v37y2005i18p2077-2089.html
   My bibliography  Save this article

Gender differences in e-commerce

Author

Listed:
  • Bijou Yang
  • David Lester

Abstract

Predictors of shopping online were compared for men and women using a sample of 365 college students. For the men, the only predictor of purchasing products online was the number of hours they spent online. For women, the predictors of making purchases online included anxiety about using computers and attitudes toward money, in addition to the number of hours spent online. The results were examined using OLS and MLE (logit and probit) regressions techniques, and the results from each technique compared and contrasted.

Suggested Citation

  • Bijou Yang & David Lester, 2005. "Gender differences in e-commerce," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2077-2089.
  • Handle: RePEc:taf:applec:v:37:y:2005:i:18:p:2077-2089
    DOI: 10.1080/00036840500293292
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840500293292
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036840500293292?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. Hayhoe, Celia Ray & Leach, Lauren & Turner, Pamela R., 1999. "Discriminating the number of credit cards held by college students using credit and money attitudes," Journal of Economic Psychology, Elsevier, vol. 20(6), pages 643-656, December.
    2. Harless, David W & Camerer, Colin F, 1994. "The Predictive Utility of Generalized Expected Utility Theories," Econometrica, Econometric Society, vol. 62(6), pages 1251-1289, November.
    3. Hendry, David F. & Richard, Jean-Francois, 1982. "On the formulation of empirical models in dynamic econometrics," Journal of Econometrics, Elsevier, vol. 20(1), pages 3-33, October.
    4. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    5. Gilbert, Christopher L, 1989. "LSE and the British Approach to Time Series Econometrics," Oxford Economic Papers, Oxford University Press, vol. 41(1), pages 108-128, January.
    6. Rosenbloom, Bert, 2002. "The ten deadly myths of e-commerce," Business Horizons, Elsevier, vol. 45(2), pages 61-66.
    7. Gilbert, Christopher L, 1986. "Professor Hendry's Econometric Methodology," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 283-307, August.
    8. Bijou Yang & Philip Lo & David Lester, 2003. "Purchasing textbooks online," Applied Economics, Taylor & Francis Journals, vol. 35(11), pages 1265-1269.
    9. Colin Camerer & Teck Ho & Kuan Chong, 2003. "Models of Thinking, Learning, and Teaching in Games," American Economic Review, American Economic Association, vol. 93(2), pages 192-195, May.
    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. Goldsmith, Ronald E. & Flynn, Leisa R. & Clark, Ronald A., 2011. "Materialism and brand engagement as shopping motivations," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 278-284.
    2. Wenjing Lyu & Ye Qi & Jin Liu, 2024. "Proliferation in live streaming commerce, and key opinion leader selection," Electronic Commerce Research, Springer, vol. 24(2), pages 1153-1186, June.
    3. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    4. Fernández-Bonilla, Fernando & Gijón, Covadonga & De la Vega, Bárbara, 2022. "E-commerce in Spain: Determining factors and the importance of the e-trust," Telecommunications Policy, Elsevier, vol. 46(1).
    5. Ladhari, Riadh & Hudon, Tristan & Massa, Elodie & Souiden, Nizar, 2022. "The determinants of Women's redemption of geo-targeted m-coupons," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    6. Ather Akhlaq & Ejaz Ahmed, 2016. "Gender Differences Among Online Shopping Factors In Pakistan," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 7(1).

    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. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    2. Bauwens, Luc & Sucarrat, Genaro, 2010. "General-to-specific modelling of exchange rate volatility: A forecast evaluation," International Journal of Forecasting, Elsevier, vol. 26(4), pages 885-907, October.
    3. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).
    4. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    5. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    6. Cook, Steven & Fosten, Jack, 2019. "Replicating rockets and feathers," Energy Economics, Elsevier, vol. 82(C), pages 139-151.
    7. Rajendra Prasad Shrestha Ph. D., 2008. "Private Savings Behaviour in Nepal: Long-term Determinants and Short-run Dynamics," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 20, pages 16-31, April.
    8. Bernd Hayo, 2018. "On Standard-Error-Decreasing Complementarity: Why Collinearity is Not the Whole Story," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 289-307, March.
    9. Ericsson, Neil R. & Campos, Julia & Tran, Hong-Anh, 1990. "Pc-Give and David Hendry'S Econometric Methodology," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 10(1), April.
    10. repec:bla:ecorec:v:64:y:1988:i:185:p:81-101 is not listed on IDEAS
    11. Hendry, David F & Ericsson, Neil R, 1991. "An Econometric Analysis of U.K. Money Demand in 'Monetary Trends in the United States and the United Kingdom' by Milton Friedman and Anna Schwartz," American Economic Review, American Economic Association, vol. 81(1), pages 8-38, March.
    12. Gilbert, Christopher L., 1990. "The rational expectations hypothesis in models of primary commodity prices," Policy Research Working Paper Series 384, The World Bank.
    13. Wilson Luiz Rotatori & Jan M Podivinsky, 2007. "Dynamic Macroeconometric Modelling: Evidence on the Brazilian Monetary System," EcoMod2007 23900078, EcoMod.
    14. Genaro Sucarrat, 2010. "Econometric reduction theory and philosophy," Journal of Economic Methodology, Taylor & Francis Journals, vol. 17(1), pages 53-75.
    15. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    16. Steve Cook, 2008. "Cross‐data‐vintage Encompassing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 849-865, December.
    17. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5.
    18. Duo Qin & Yanqun Zhang, 2013. "A History of Polyvalent Structural Parameters: the Case of Instrument Variable Estimators," Working Papers 183, Department of Economics, SOAS University of London, UK.
    19. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).
    20. Granger, Clive W. J. & King, Maxwell L. & White, Halbert, 1995. "Comments on testing economic theories and the use of model selection criteria," Journal of Econometrics, Elsevier, vol. 67(1), pages 173-187, May.
    21. John J. Beggs, 1988. "Diagnostic Testing in Applied Econometrics," The Economic Record, The Economic Society of Australia, vol. 64(2), pages 81-101, June.

    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:taf:applec:v:37:y:2005:i:18:p:2077-2089. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.