Integrated Model of Demand for Telephone Services in Terms of Microeconometrics

Kaczmarczyk Paweł ()
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Kaczmarczyk Paweł: The State University of Applied Sciences in Płock, Faculty of Economics and Information Technology, Department of Economics, Nowe Trzepowo 55, 09-402 Płock, Poland

Folia Oeconomica Stetinensia, 2016, vol. 16, issue 2, 72-83

Abstract: The paper presents the results of the testing effectiveness of the integrated model in the short-term forecasting of demand for telephone services in 24-hour cycles. The linear regression model with dichotomous (binary) independent variables was integrated with the feed forward neural network. The regression model was used as a filter of modelled variability of the demand. The neural network was used to model residual variability. The research shows that the integrated model has a higher possibility of approximation and prediction in comparison to the non-integrated linear regression model. The research study was based on data provided by the selected telecommunications network operator. The range of empirical material consisted of hourly counted seconds of outgoing calls and generated by network subscribers in various analytical sections.

Keywords: Decision Support System; linear regression; feed forward neural network; forecasting (search for similar items in EconPapers)
JEL-codes: C45 C53 D24 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:vrs:foeste:v:16:y:2016:i:2:p:72-83:n:6

DOI: 10.1515/foli-2016-0026

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