Structural Analysis of Nonlinear Pricing

dc.citation.firstpage2523en_US
dc.citation.issueNumber6en_US
dc.citation.journalTitleJournal of Political Economyen_US
dc.citation.lastpage2568en_US
dc.citation.volumeNumber126en_US
dc.contributor.authorLuo, Yaoen_US
dc.contributor.authorPerrigne, Isabelleen_US
dc.contributor.authorVuong, Quangen_US
dc.date.accessioned2019-01-18T17:51:30Zen_US
dc.date.available2019-01-18T17:51:30Zen_US
dc.date.issued2018en_US
dc.description.abstractThis 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.en_US
dc.identifier.citationLuo, Yao, Perrigne, Isabelle and Vuong, Quang. "Structural Analysis of Nonlinear Pricing." <i>Journal of Political Economy,</i> 126, no. 6 (2018) The University of Chicago Press: 2523-2568. https://doi.org/10.1086/699978.en_US
dc.identifier.doihttps://doi.org/10.1086/699978en_US
dc.identifier.urihttps://hdl.handle.net/1911/105104en_US
dc.language.isoengen_US
dc.publisherThe University of Chicago Pressen_US
dc.rightsArticle 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.en_US
dc.titleStructural Analysis of Nonlinear Pricingen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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