The Leading Event for Broadband Systems Operators

James Stegeman

President & CEO
CostQuest Associates


James Stegeman is leading the creation of the national fabric that will be used for the upcoming Broadband Data Collection efforts at the FCC. He is and has been a major force behind the development of the latest generation economic cost models used by cable, telco, tower and wireless companies and state and government agencies in support of broadband deployment analysis (telco, cable, wireless and satellite), valuation and property tax efforts, and UNE (Unbundled Network Element) and USF (Universal Service Fund) proceedings. He led the design, coding and implementation of the Connect America Cost Model (“CAM,” “CACM,” “A-CAM”) that is being used by the FCC to disburse over $1 billion annually to fund broadband deployment and was used to set the reserved price in the recent RDOF auction. He led the design, coding and implementation of the GigabitCity model that is currently being used by investment banking entities, cities and carriers to investigate the financials for fiber deployment. And, he led the design, coding and implementation of the Broadband Analysis Model (“BAM”) that was used by the FCC to develop and support the economic findings in the National Broadband Plan.

In addition to his U.S. modeling experience, Stegeman has also designed economic costing models for telecom and/or government entities in Hong Kong, Bermuda, Australia, and New Zealand. The New Zealand model was referred to as a “best-in-class TSLRIC model” by an independent outside party.

In concert with his experience in building economic models, Stegeman has been retained as an expert witness in various tax and regulatory proceedings to attest to the validity of network models for supporting network costing, including his recent appearance before the U.S. House of Representatives.

Stegeman holds a B.S. in math and statistics and an M.S. in statistics, both from Miami University of Ohio.

May 2-5, 2022

Marriott Marquis in Houston, Texas

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