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Estimating components of ICT expenditure: a model-based approach with applicability to short time-series

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  • Russel Cooper
  • Gary Madden

Abstract

This article develops a microeconomic model-based approach to estimation of national information and communications technology expenditure that is helpful when only very short time-series are available. The model specification incorporates parameters for network effects and national e-readiness. Finally, the model allows for observed nonhomotheticity and 'noise' found in sample data, with the latter attributed to country-specific influences.

Suggested Citation

  • Russel Cooper & Gary Madden, 2010. "Estimating components of ICT expenditure: a model-based approach with applicability to short time-series," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 87-96.
    • Handle: RePEc:taf:applec:v:42:y:2010:i:1:p:87-96
    DOI: 10.1080/00036840701564442
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    1. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: U.S. Economic Growth in the Information Age," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
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    5. Makridakis, Spyros, 1996. "Forecasting: its role and value for planning and strategy," International Journal of Forecasting, Elsevier, vol. 12(4), pages 513-537, December.
    6. Cooper, Russel J & McLaren, Keith R, 1996. "A System of Demand Equations Satisfying Effectively Global Regularity Conditions," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 359-364, May.
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    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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