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Spatial data constraints: Implications for measuring broadband

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  • Grubesic, Tony H.

Abstract

The accurate determination of where broadband telecommunication services are available in the United States continues to be a significant challenge. Existing data regarding broadband provision, such as that provided by the Federal Communication Commission (FCC) simply designate ZIP codes with at least one high-speed Internet subscriber. As ZIP code areas vary greatly in size and shape, the lack of geographic specificity as to exactly where broadband is available, particularly within ZIP code areas, confounds communications policymaking. Further, there are a number of additional geographic nuances concerning broadband availability that also inhibit empirical examination and policy generation, including the spatial limitations of digital subscriber line services. The purpose of this paper is to briefly review the issues concerning broadband measurement in the United States and provide an empirical analysis of several spatial data constraints that must be accounted for when interpreting and constructing public telecommunications policy.

Suggested Citation

  • Grubesic, Tony H., 2008. "Spatial data constraints: Implications for measuring broadband," Telecommunications Policy, Elsevier, vol. 32(7), pages 490-502, August.
    • Handle: RePEc:eee:telpol:v:32:y:2008:i:7:p:490-502
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    Citations

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    Cited by:

    1. Bertschek, Irene & Briglauer, Wolfgang & Hüschelrath, Kai & Kauf, Benedikt & Niebel, Thomas, 2016. "The economic impacts of telecommunications networks and broadband internet: A survey," ZEW Discussion Papers 16-056, ZEW - Leibniz Centre for European Economic Research.
    2. Elizabeth A. Mack & Tony H. Grubesic, 2014. "US broadband policy and the spatio-temporal evolution of broadband markets," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(3), pages 291-308, August.
    3. Mack, Elizabeth A. & Grubesic, Tony H., 2009. "Forecasting broadband provision," Information Economics and Policy, Elsevier, vol. 21(4), pages 297-311, November.
    4. Grubesic, Tony H., 2012. "The U.S. National Broadband Map: Data limitations and implications," Telecommunications Policy, Elsevier, vol. 36(2), pages 113-126.
    5. Dinterman, Robert & Renkow, Mitch, 2017. "Evaluation of USDA's Broadband Loan Program: Impacts on broadband provision," Telecommunications Policy, Elsevier, vol. 41(2), pages 140-153.
    6. Grubesic, Tony H. & Helderop, Edward & Alizadeh, Tooran, 2019. "Closing information asymmetries: A scale agnostic approach for exploring equity implications of broadband provision," Telecommunications Policy, Elsevier, vol. 43(1), pages 50-66.
    7. Bertschek Irene & Briglauer Wolfgang & Hüschelrath Kai & Kauf Benedikt & Niebel Thomas, 2015. "The Economic Impacts of Broadband Internet: A Survey," Review of Network Economics, De Gruyter, vol. 14(4), pages 201-227, December.
    8. Mack, Elizabeth A. & Maciejewski, Ross, 2015. "A profile of visual analytical toolkits for understanding the spatio-temporal evolution of broadband provision," Telecommunications Policy, Elsevier, vol. 39(3), pages 320-332.
    9. Benjamin T. Skinner, 2019. "Making the Connection: Broadband Access and Online Course Enrollment at Public Open Admissions Institutions," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(7), pages 960-999, November.
    10. repec:rre:publsh:v:40:y:2010:i:1:p:5-26 is not listed on IDEAS
    11. Sahebali, M.W.W. & Sadowski, Bert M. & Nomaler, O. & Brennenraedts, R., 2021. "Rolling out of fibre optic networks in intermediate versus urban areas: An exploratory spatial analysis in the Netherlands," Telecommunications Policy, Elsevier, vol. 45(5).

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