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Learning to surf: Spillovers in the adoption of the Internet

Author

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  • Ward, Michael R.

Abstract

This paper develops an identification strategy to generate unbiased estimates of Internet usage spillovers using a unique data set of US households. This strategy addresses the effects of variables that affect consumers' decisions but are unobservable to the researcher that lead to biased estimates. The estimator developed here examines changes in household behavior over time and uses county level instrumental variables for county level spillover measures.

Suggested Citation

  • Ward, Michael R., 2012. "Learning to surf: Spillovers in the adoption of the Internet," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1474-1483.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:8:p:1474-1483
    DOI: 10.1016/j.techfore.2012.05.005
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    Cited by:

    1. Lei, Lei & Yu, Dandan & Zhou, Yang, 2023. "Better educated children, better Internet-connected elderly parents," Research Policy, Elsevier, vol. 52(4).
    2. Rodrigo Belo & Pedro Ferreira & Rahul Telang, 2016. "Spillovers from Wiring Schools with Broadband: The Critical Role of Children," Management Science, INFORMS, vol. 62(12), pages 3450-3471, December.

    More about this item

    Keywords

    Internet; Learning; Spillovers;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D62 - Microeconomics - - Welfare Economics - - - Externalities

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