IDEAS home Printed from https://ideas.repec.org/a/eee/iepoli/v18y2006i4p405-422.html
   My bibliography  Save this article

Digital identity: How users value the attributes of online identifiers

Author

Listed:
  • Mueller, Milton L.
  • Park, Yuri
  • Lee, Jongsu
  • Kim, Tai-Yoo

Abstract

No abstract is available for this item.

Suggested Citation

  • Mueller, Milton L. & Park, Yuri & Lee, Jongsu & Kim, Tai-Yoo, 2006. "Digital identity: How users value the attributes of online identifiers," Information Economics and Policy, Elsevier, vol. 18(4), pages 405-422, November.
  • Handle: RePEc:eee:iepoli:v:18:y:2006:i:4:p:405-422
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-6245(06)00032-1
    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. Joel Huber and Kenneth Train., 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Economics Working Papers E00-289, University of California at Berkeley.
    2. Nicholas Economides, 1997. "The Economics of Networks," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 1(0), December.
    3. Roe, Brian & Boyle, Kevin J. & Teisl, Mario F., 1996. "Using Conjoint Analysis to Derive Estimates of Compensating Variation," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 145-159, September.
    4. Paul Klemperer, 1995. "Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 515-539.
    5. Layton, David F., 2000. "Random Coefficient Models for Stated Preference Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 21-36, July.
    6. John Calfee & Clifford Winston & Randolph Stempski, 2001. "Econometric Issues In Estimating Consumer Preferences From Stated Preference Data: A Case Study Of The Value Of Automobile Travel Time," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 699-707, November.
    7. Pei-Yu (Sharon) Chen & Lorin M. Hitt, 2002. "Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry," Information Systems Research, INFORMS, vol. 13(3), pages 255-274, September.
    8. Gans Joshua S & King Stephen Peter, 2001. "Regulating Endogenous Customer Switching Costs," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 1(1), pages 1-31, May.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, October.
    10. Gans, Joshua S. & King, Stephen P. & Woodbridge, Graeme, 2001. "Numbers to the people: regulation, ownership and local number portability," Information Economics and Policy, Elsevier, vol. 13(2), pages 167-180, June.
    11. Paul Klemperer, 1987. "Markets with Consumer Switching Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 375-394.
    12. David Hensher, 2001. "The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications," Transportation, Springer, vol. 28(2), pages 101-118, May.
    13. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    14. Alvarez-Farizo, Begona & Hanley, Nick, 2002. "Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms. An example from Spain," Energy Policy, Elsevier, vol. 30(2), pages 107-116, January.
    15. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
    16. Chiang, Jeongwen & Chib, Siddhartha & Narasimhan, Chakravarthi, 1998. "Markov chain Monte Carlo and models of consideration set and parameter heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 223-248, November.
    17. Klemperer, Paul D, 1987. "Entry Deterrence in Markets with Consumer Switching Costs," Economic Journal, Royal Economic Society, vol. 97(388a), pages 99-117, Supplemen.
    18. Milton L. Mueller, 1997. "Universal Service," Books, American Enterprise Institute, number 53006, September.
    19. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
    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. Tai-Yoo Kim & Mi-Ae Jung & Eungdo Kim & Eunnyeong Heo, 2011. "The Faster-Accelerating Growth of the Knowledge-Based Society," TEMEP Discussion Papers 201181, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2011.
    2. Tai-Yoo Kim & Jihyoun Park & Eungdo Kim & Junseok Hwang, 2011. "The Faster-Accelerating Digital Economy," TEMEP Discussion Papers 201173, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2011.

    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. Lee, Jongsu & Kim, Yeonbae & Lee, Jeong-Dong & Park, Yuri, 2006. "Estimating the extent of potential competition in the Korean mobile telecommunications market: Switching costs and number portability," International Journal of Industrial Organization, Elsevier, vol. 24(1), pages 107-124, January.
    2. Yeonbae Kim & Jeong-Dong Lee & Daeyoung Koh, 2005. "Effects of consumer preferences on the convergence of mobile telecommunications devices," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 817-826.
    3. Kim, Yeonbae, 2005. "Estimation of consumer preferences on new telecommunications services: IMT-2000 service in Korea," Information Economics and Policy, Elsevier, vol. 17(1), pages 73-84, January.
    4. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    5. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    6. Daeho Lee & Jungwoo Shin & Junseok Hwang, 2011. "Application-Based Quality Assessment of Internet Access Service," TEMEP Discussion Papers 201183, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2011.
    7. Czajkowski, Mikołaj & Sobolewski, Maciej, 2016. "How much do switching costs and local network effects contribute to consumer lock-in in mobile telephony?," Telecommunications Policy, Elsevier, vol. 40(9), pages 855-869.
    8. Nakamura, A., 2011. "Estimating switching costs after introducing Fixed-Mobile Convergence in Japan," Information Economics and Policy, Elsevier, vol. 23(1), pages 59-71, March.
    9. repec:ebl:ecbull:v:30:y:2010:i:1:p:437-449 is not listed on IDEAS
    10. Francisco Javier Amador & Rosa Marina González & Juan de Dios Ortúzar, 2004. "Preference heterogeneity and willingness to pay for travel time," Documentos de trabajo conjunto ULL-ULPGC 2004-12, Facultad de Ciencias Económicas de la ULPGC.
    11. Jongsu Lee & Jae Young Choi & Youngsang Cho, 2009. "A Forecast Simulation Analysis of the Next-Generation DVD Market Based on Consumer Preference Data," TEMEP Discussion Papers 200933, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    12. Bouckaert, Jan & Degryse, Hans & Provoost, Thomas, 2010. "Enhancing market power by reducing switching costs," Economics Letters, Elsevier, vol. 109(2), pages 131-133, November.
    13. Bouckaert, Jan & Degryse, Hans & Provoost, Thomas, 2010. "Enhancing market power by reducing switching costs," Economics Letters, Elsevier, vol. 109(2), pages 131-133, November.
    14. Hong il Yoo, 2012. "The perceived unreliability of rank-ordered data: an econometric origin and implications," Discussion Papers 2012-46, School of Economics, The University of New South Wales.
    15. Kim, Doha & Song, Yeosol & Kim, Songyie & Lee, Sewang & Wu, Yanqin & Shin, Jungwoo & Lee, Daeho, 2023. "How should the results of artificial intelligence be explained to users? - Research on consumer preferences in user-centered explainable artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    16. Lucio Fuentelsaz & Juan Pablo Maicas & Yolanda Polo, 2012. "Switching Costs, Network Effects, and Competition in the European Mobile Telecommunications Industry," Information Systems Research, INFORMS, vol. 23(1), pages 93-108, March.
    17. Lee, Daeho & Shin, Jungwoo & Lee, Sangwon, 2015. "Network management in the era of convergence: Focusing on application-based quality assessment of Internet access service," Telecommunications Policy, Elsevier, vol. 39(8), pages 705-716.
    18. Kyuho Maeng & Sungmin Ko & Jungwoo Shin & Youngsang Cho, 2020. "How Much Electricity Sharing Will Electric Vehicle Owners Allow from Their Battery? Incorporating Vehicle-to-Grid Technology and Electricity Generation Mix," Energies, MDPI, vol. 13(16), pages 1-25, August.
    19. Yuri Park & Hyunnam Kim & Jongsu Lee, 2009. "Model for Studying Commodity Bundling with a Focus on Consumer Preference," TEMEP Discussion Papers 200935, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    20. Tat Chan & Chakravarthi Narasimhan & Ying Xie, 2013. "Treatment Effectiveness and Side Effects: A Model of Physician Learning," Management Science, INFORMS, vol. 59(6), pages 1309-1325, June.
    21. AOKI Reiko & ARAI Yasuhiro, 2013. "Evolution of Standards and Innovation," Discussion papers 13075, Research Institute of Economy, Trade and Industry (RIETI).

    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:iepoli:v:18:y:2006:i:4:p:405-422. 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/inca/505549 .

    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.