arbiter
JournalsPricingAccount

Microeconometric analysis of telecommunication services market with the use of SARIMA models

Paweł Kaczmarczyk

Dynamic Econometric Models2017https://doi.org/10.12775/dem.2017.003article
ABDC C
Weight
0.47

What the paper says

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.

6 citations

Open paper page →

Cite this paper

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

Or copy a formatted citation

@article{paweł2017,
  title        = {{Microeconometric analysis of telecommunication services market with the use of SARIMA models}},
  author       = {Paweł Kaczmarczyk},
  journal      = {Dynamic Econometric Models},
  year         = {2017},
  doi          = {https://doi.org/https://doi.org/10.12775/dem.2017.003},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Microeconometric analysis of telecommunication services market with the use of SARIMA models

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.47

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.