Structural Analysis of Nonlinear Pricing

• 成果类型: Article
• 署名作者: Luo, Yao; Perrigne, Isabelle; Vuong, Quang
• 署名单位: University of Toronto; Rice University; New York University
• 刊物名称: JOURNAL OF POLITICAL ECONOMY
• ISSN/ISSBN: 0022-3808
• DOI: 10.1086/699978
• 发表日期: 2018
• 页码: 2523-2568
• 关键词: Nonparametric identification; semiparametric estimation; 1st-price auctions; TRANSFORMATION; DISCRIMINATION; monopoly; demand; COMPETITION; service; MODEL

摘要

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.