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dc.contributor.authorLuo, Yao
Perrigne, Isabelle
Vuong, Quang
dc.date.accessioned 2019-01-18T17:51:30Z
dc.date.available 2019-01-18T17:51:30Z
dc.date.issued 2018
dc.identifier.citation Luo, Yao, Perrigne, Isabelle and Vuong, Quang. "Structural Analysis of Nonlinear Pricing." Journal of Political Economy, 126, no. 6 (2018) The University of Chicago Press: 2523-2568. https://doi.org/10.1086/699978.
dc.identifier.urihttps://hdl.handle.net/1911/105104
dc.description.abstract This paper proposes a new methodology for analyzing nonlinear pricing data. We establish identification of the model primitives with a known tariff and characterize the model restrictions on observables. We propose a quantile-based nonparametric estimator that achieves consistency at the parametric rate. We introduce unobserved product heterogeneity with an unknown tariff and show how our identification and estimation results extend. A Monte Carlo study analyzes the robustness of our methodology to menus of two-part tariffs. Analysis of cellular service data assesses the performance of various pricing strategies. We discuss extensions to network effects, multiproduct firms, bundling, differentiated products, and oligopolies.
dc.language.iso eng
dc.publisher The University of Chicago Press
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.title Structural Analysis of Nonlinear Pricing
dc.type Journal article
dc.citation.journalTitle Journal of Political Economy
dc.citation.volumeNumber 126
dc.citation.issueNumber 6
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1086/699978
dc.type.publication publisher version
dc.citation.firstpage 2523
dc.citation.lastpage 2568


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