Preview

Moscow University Economics Bulletin

Advanced search

Quantitative assessment of cross-side network effects for non-transactional platforms

https://doi.org/10.38050/01300105202242

Abstract

The analysis of cross-network effects is important in considering the impossibility of their direct observation and the impact of cross-network effects on the values of all tests in competition policy, pricing practice and merger valuation. The article summarizes the experience of quantifying cross-network effects for non-transactional platforms. This paper systematizes the methods for assessing cross-network effects (regression equation systems, features of data collection, control variables) used in the study of the mutual influence of the media audience (newspapers, magazines, television channels) and advertising. The results of the analysis reflect the technical feasibility of this task and the requirements for the initial data and expert competences in the application of quantitative methods. The article summarizes the results of empirical estimates which in most cases coincide with the predictions of the theory about the sign (direction) of cross-network effects.

About the Authors

V. S. Rozhkina
HSE University
Russian Federation

Moscow



S. V. Golovanova
HSE University
Russian Federation

Nizhny Novgorod



D. V. Korneeva
HSE University
Russian Federation

Nizhny Novgorod



References

1. Shastitko, A. E., & Markova, O. A. (2020). An old friend is better than two new ones? Approaches to market research in the context of digital transformation for the antitrust laws enforcement. Voprosy Ekonomiki [Economic issues], 6, 37–55.


Supplementary files

Review

For citations:


Rozhkina V.S., Golovanova S.V., Korneeva D.V. Quantitative assessment of cross-side network effects for non-transactional platforms. Moscow University Economics Bulletin. 2022;(4):17-38. (In Russ.) https://doi.org/10.38050/01300105202242

Views: 511


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0130-0105 (Print)