Economics at your fingertips  

Predicting Hourly Internet Traffic in the RTB System – Panel Approach

Michał Bernardelli
Additional contact information
Michał Bernardelli: SGH Warsaw School of Economics

Collegium of Economic Analysis Annals, 2017, issue 47, 11-26

Abstract: The aim of this article is to provide a method allowing to control the costs in the real time bidding system related with the bid request traffic. Hourly limits of expenses are predicted based on the historical data. This approach allows to diversify the costs through the whole day, instead spending them immediately at the beginning of the day. To improve the accuracy, a proposed method includes a panel econometric model, where hours are panels. Results are evaluated on the basis of off-line comparison tests between the panel (fixed effects estimator) and non-panel model (ordinary least squares estimator). It turns out, that in most cases the panel method gives more accurate predictions.

Keywords: real time bidding; fixed effects estimator; panel data; bid request (search for similar items in EconPapers)
JEL-codes: C13 C23 C5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link) Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Collegium of Economic Analysis Annals is currently edited by Joanna Plebaniak, Beata Czarnacka-Chrobot

More articles in Collegium of Economic Analysis Annals from Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Series data maintained by Michał Bernardelli ().

Page updated 2018-02-24
Handle: RePEc:sgh:annals:i:47:y:2017:p:lis.26