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A Dynamic Macroeconomic Model for the US Telecommunications Industry

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Author Info

  • Elias Aravantinos

    (Stevens Institute of Technology, Wesley J. Howe School of Technology Management)

  • Fotios Harmantzis

Abstract

Dynamic models have been used in most businesses serving different purposes. The increased changes of the Telecommunications environment have created a dynamic industry emerging new dynamic economic models. We investigated the Telecom industry by conducting macroeconomic and infrastructure analysis. However, this paper uses recent data from the Telecommunications industry to reveal the infrastructure trends and predict the US wireless growth. The analysis is focused on several factors such as the infrastructure described by the Teledensity, the employment and the Telecom revenues in comparison with the Gross Domestic Product (GDP). The purpose of this analysis is to understand the industry’s behavior during a specific period of time, 1984-2003, propose an appropriate economic dynamic model, wireless oriented that identifies the current driving forces and detects the impact of some critical events and trends.

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File URL: http://128.118.178.162/eps/mac/papers/0506/0506004.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Macroeconomics with number 0506004.

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Length: 20 pages
Date of creation: 05 Jun 2005
Date of revision:
Handle: RePEc:wpa:wuwpma:0506004

Note: Type of Document - pdf; pages: 20. International Telecom study on technology trends and US wireless growth empirical analysis
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Web page: http://128.118.178.162

Related research

Keywords: Dynamic Economic Model; Macroeconomic Analysis; Telecom Act; Teledensity;

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  1. Lars-Hendrik Röller & Leonard Waverman, 1996. "Telecommunications Infrastructure and Economic Development: A Simultaneous Approach," CIG Working Papers FS IV 96-16, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  2. Krolzig, Hans-Martin, 2001. "Business cycle measurement in the presence of structural change: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 349-368.
  3. Hans-Martin Krolzig, 2000. "Business Cycle Measurement in the Presence of Structural Change: International Evidence," Economics Series Working Papers 2000-W33, University of Oxford, Department of Economics.
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