Structural Analysis of Nonlinear Pricing
Isabelle Perrigne and
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Yao Luo: University of Toronto
Isabelle Perrigne: Rice University
Quang Vuong: NYU
Working Papers from Rice University, Department of Economics
This paper proposes a methodology for analyzing nonlinear pricing data with an illustration on cellular phone. The model incorporates consumers exclusion. Assuming a known traffic, we establish identification of the model primitives using the first-order conditions of both the firm and the consumer up to a cost parameterization. Next, we propose a new one-step quantile-based non-parametric method to estimate the consumers inverse demand and their type distribution. We show that our nonparametric estimator is the square root of N-consistent. We then introduce unobserved product heterogeneity with an unknown tariff. We show how our identification and estimation results extend. Our analysis of cellular phone consumption data assesses the performance of alternative pricing strategies relative to nonlinear pricing.
New Economics Papers: this item is included in nep-com, nep-ger and nep-mkt
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:riceco:14-003
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