Simulating media platform mergers
Marc Ivaldi and
Jiekai Zhang
International Journal of Industrial Organization, 2021, vol. 79, issue C
Abstract:
The empirical analysis of media platforms economics has often neglected the multi-homing behaviour of advertisers. Assuming away the cross-substitutability and/or complementarity between the advertising slots of different platforms could damage the quality and the robustness of counterfactual analysis. To evaluate the consequence of such an abstraction, we compare the simulation results of hypothetical platform mergers when the demand on the advertising side is derived from a Translog cost model which allows for multi-homing, and when it is approximated by using a simple log-linear inverse demand model that ignores the differentiation among media platforms’ advertising slots. Ignoring the existence of substitutes or complements on the advertising side would result in overpredicting the losses of the viewers’ surplus and in underpredicting the gains in platforms’ revenues.
Keywords: Two-sided market; Platform merger; Advertising; TV market; Competition policy (search for similar items in EconPapers)
JEL-codes: K21 L10 L40 L82 M37 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167718721000229
Full text for ScienceDirect subscribers only
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: https://EconPapers.repec.org/RePEc:eee:indorg:v:79:y:2021:i:c:s0167718721000229
DOI: 10.1016/j.ijindorg.2021.102729
Access Statistics for this article
International Journal of Industrial Organization is currently edited by P. Bajari, B. Caillaud and N. Gandal
More articles in International Journal of Industrial Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().