 Empirical analysis of network effects in nonlinear pricing dataLiang Chen and Yao Luo International Journal of Industrial Organization, 2023, vol. 91, issue C Abstract: Network effects, i.e., an agent's utility may depend on other agents' choices, appear in many contracting situations. Empirically assessing them faces two challenges: an endogeneity problem in contract choice and a reflection problem in network effects. This paper proposes a nonparametric approach to tackle both challenges by exploiting restriction conditions from both demand and supply sides. We illustrate our methodology in the yellow pages advertising industry. Using advertising purchases and nonlinear price schedules from seven directories in Toronto, we find positive network effects, which account for a substantial portion of the publisher's profit and businesses' surpluses. We finally conduct counterfactuals to assess the overall and distributional welfare effects of the nonlinear pricing scheme relative to an alternative linear pricing scheme with and without network effects. Keywords: Identification; Asymmetric information; Network effects; Nonlinear pricing (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:indorg:v:91:y:2023:i:c:s0167718723000991 DOI: 10.1016/j.ijindorg.2023.103030 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 |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.