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Dynamic Econometric Models

Microeconometric Analysis of Telecommunication Services Market with the use of SARIMA Models
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Microeconometric Analysis of Telecommunication Services Market with the use of SARIMA Models

Authors

  • Paweł Kaczmarczyk The State University of Applied Sciences in Płock, Faculty of Economic Sciences and Information Technology

DOI:

https://doi.org/10.12775/DEM.2017.003

Keywords

Decision Support System, dichotomous regression, SARIMA model, forecasting.

Abstract

The paper presents the results of testing the effectiveness of the multi sectional model in the short-term forecasting of hourly demand for telephone services. The model was based on the integration of the linear regression model with dichotomous independent variables and the SARIMA model. The regression was used as a filter of modelled variability of the demand. The SARIMA was applied to model residual variability. The research shows that the proposed integration provides a greater possibility of approximation and prediction in comparison to the non-supported linear regression model. The results of the study provide support for operational planning of telecommunications operator.

Author Biography

Paweł Kaczmarczyk, The State University of Applied Sciences in Płock, Faculty of Economic Sciences and Information Technology

Ph.D.

Vice-Dean for Science

References

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Nadolny, M. (2011), Podstawowe modele dyfuzji dóbr telekomunikacyjnych (Basic Models of Telecommunications Goods Diffusion). In Łyka J. (ed.), Wybrane modele matematyczne w ekonomii. Globalizacja i rozwój (Selected Mathematical Models in Economics. Globalisation and Growth). Wydawnictwo Uniwersytetu Ekonomicznego, Wrocław.

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Dynamic Econometric Models

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Published

2017-12-07

How to Cite

1.
KACZMARCZYK, Paweł. Microeconometric Analysis of Telecommunication Services Market with the use of SARIMA Models. Dynamic Econometric Models. Online. 7 December 2017. Vol. 17, no. 1, pp. 41-57. [Accessed 1 July 2025]. DOI 10.12775/DEM.2017.003.
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Vol. 17 (2017)

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The journal provides an Open Access to its content based on the non-exclusive licence Creative Commons (CC BY-ND 4.0).

To enable the publisher to disseminate the author's work to the fullest extent, the author must agrees to the terms and conditions of the License Agreement with Nicolaus Copernicus University.

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