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A spatial and economic analysis for telecommunications: Evidence from the European Union

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Abstract

This paper evaluates the role of a number of determinants of telecommunication services in the European Union. We use a logistic model with spatial covariates to estimate the demand function for telecommunications in the Union. Our results show that different types of interconnections generate diverse estimates for country specific demand. The impact on telecommunications from countries with spatial, economic or social similarities differs based on those characteristics. Omitted variable bias from not modeling spatial interdependence is limited in models under spatial connectivity criteria. This satisfies the statistical inference drawn by previous empirical studies regarding determinants of telecommunications.

Suggested Citation

  • Christos Agiakloglou & Sotiris Karkalakos, 2009. "A spatial and economic analysis for telecommunications: Evidence from the European Union," Journal of Applied Economics, Universidad del CEMA, vol. 12, pages 11-32, May.
  • Handle: RePEc:cem:jaecon:v:12:y:2009:n:1:p:11-32
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    File URL: https://ucema.edu.ar/publicaciones/download/volume12/agiakloglou.pdf
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    Cited by:

    1. repec:eee:iepoli:v:39:y:2017:i:c:p:26-35 is not listed on IDEAS
    2. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    3. Christos Agiakloglou & Michael Polemis, 2018. "Evaluating the liberalization process on Telecommunications services for EU countries," Economics and Business Letters, Oviedo University Press, vol. 7(3), pages 98-107.
    4. repec:kab:journl:y:2019:i:1:p:6-29 is not listed on IDEAS
    5. Agiakloglou, Christos & Polemis, Michael, 2015. "What determines demand for Telecommunications services? Evidence from the EU countries before and after liberalization," 26th European Regional ITS Conference, Madrid 2015 127119, International Telecommunications Society (ITS).
    6. Mariana Kaneva, 2019. "Telecommunications infrastructure and GDP /Jipp curve/," Economics and computer science, Publishing house "Knowledge and business" Varna, issue 1, pages 6-29.
    7. Agiakloglou, Christos & Gkouvakis, Michalis, 2012. "Causal interrelations among market fundamentals: Evidence from the Europen telecommunications sector," 23rd European Regional ITS Conference, Vienna 2012 60387, International Telecommunications Society (ITS).
    8. repec:kap:jincot:v:18:y:2018:i:2:d:10.1007_s10842-017-0261-4 is not listed on IDEAS
    9. repec:gam:jsusta:v:11:y:2019:i:18:p:5089-:d:268089 is not listed on IDEAS

    More about this item

    Keywords

    decay effect; telephone traffic demand; spatial econometrics;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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