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Competitive Nonlinear Pricing in Duopoly Equilibrium: The Early U.S. Cellular Telephone Industry

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64 diapositives · 813 Views · Aug 20, 2014

This paper examines nonlinear pricing strategies in the early U.S. cellular phone industry through a duopoly framework. It explores how firms engaged in price discrimination under competitive conditions, contrasting real-world pricing practices with theoretical models. The authors, Eugenio J. Miravete and Lars-Hendrik Röller, analyze data on pricing plans and model structural equilibrium to understand how competition affects markups and consumer welfare. The study provides valuable insights for policymakers on pricing strategies, mergers, and market regulations in telecommunications.

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Competitive Nonlinear Pricing in Duopoly Equilibrium: The Early U.S. Cellular Telephone Industry
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  1. Competitive Nonlinear Pricing in Duopoly Equilibrium: The Early U.S. Cellular Telephone Industry Eugenio J. Miravete University of Pennsylvania & CEPR Lars-Hendrik Röller WZB, Humboldt University & CEPR (Chief Competition Economist, European Commission) This version: February 24, 2005

  2. Introduction

  3. Road Map • Motivation • Literature Review • The Data • Model Description • Econometric Implementation • Policy Evaluations • Things that still need to be done.

  4. Motivation • Nonlinear pricing under competition: • Abundant evidence that firms engage in price discrimination practices even when they operate in competitive environments. • Business practices have not been matched by theoretical models until very recently.

  5. Identification Issues • What are the basic estimation problems of the NEIO? • Marginal cost data is very rarely available. • Price-cost margins have to be estimated together with demand and cost parameters. • They change with consumption level in nonlinear tariffs. • Difficulties concerning the identification of the actual competition regime.

  6. Our Approach • How do we incorporate the features of second degree price discrimination into the estimation of a structural equilibrium model of nonlinear pricing competition? • Nonparametric identification: Provided a given specification of demand, there is a one-to-one mapping between the distribution of types and the optimal nonlinear tariff. • Then we can make use of the information contained in the SHAPE of the tariffs offered by competing firms. • We assume Nash equilibrium in nonlinear tariffs.

  7. Our Approach

  8. Modeling Choices • Several approaches are possible to deal with nonlinear pricing competition:

  9. Literature Review • Second degree price discrimination (reduced form): • Shepard, JPE´91: Full service vs. self-service gasoline. • Borenstein, RAND´91: Leaded vs. unleaded gasoline. • Cohen, 2000: Packaging size of paper towels. • Non-uniform markup changes (reduced form): • Borenstein, RAND´89: Airline pricing. • Busse and Rysman, 2001: Advertisements in yellow pages. • Busse, JEMS´00: Similarity of cellular phone tariffs.

  10. Literature Review • Second degree price discrimination (equilibrium models): • Clerides, IJIO´02: Inter-temporal pricing of books. • Leslie, 2000: Pricing of a Broadway theater. • Cohen, 2001: Packaging size of paper towels. • McManus, 2001: Pricing of specialty coffee (size), U.Va. • Ivaldi and Martimort, Rev. Ec. et Stat´94: Power in France. • Basaluzzo and Miravete, 2004. • Linear Pricing (conjectural variations approach): • Parker and Röller, RAND´97.

  11. Goals • Provide with an operationally feasible method of estimation for competitive markets where price discrimination is common. • Minimize the data requirements. • Evaluate how non-uniform markups change with competition. Who benefits the most? • Incumbent vs. entrants. • Large vs. small customers. • Policy analysis: • Mergers, pricing restrictions, and other counterfactual evaluations.

  12. The Data

  13. Some Facts: World • Cellular phones are quintessential part of IT revolution of the 1990s. • Currently, there are 1.3 billion subscribers worldwide. • The number of wireless phones will surpass the number of fixed-line subscribes in 2002. • It currently accounts for more than 30% of the $1 trillion total worldwide telecommunications revenues.

  14. Some Facts

  15. Some Facts

  16. Some Facts: U.S. • United States, 2001: • Market penetration of 45% with 136 million subscribers. • Sales: $60 billion. • Employment: 200,000 direct jobs. • United States, 1988: • 1.6 million subscribers. • Sales: $2 billion. • Employment: 9,000 direct jobs. • Average monthly bill: $98.02.

  17. Market Definition • Technological constraint: Scarce radio spectrum. • Solution: • Service areas divided in small cells served by its own low-powered transmitter. It allows this frequency to carry a different call in a non-adjacent cell. • A mobile telephone switching office maintains a continuous transmission when customers move to a cell that uses a different frequency. • FCC design of the early US cellular market: • Define 305 non-overlapping markets SMSAs. • Assign 50 MHz in the 800 MHz band for cellular services. • Wireline license: fixed line carriers in that area (Block B). • Non-wireline license: any other US citizen or company (Block A).

  18. Market Definition: SMSA • It includes a central city or urbanized area of at least 50,000 people. • It also includes the county containing the central city and other contiguous counties with strong economic and social ties to the central city. • US Census (1990): • 76% of the population. • 16% of the land.

  19. Market Definition: SMSA-1980

  20. Sources: Tariff Plans • Cellular Price and Marketing Letter, Information Enterprises: • Pricing plans information reported by firms between August of 1984 and August of 1988. • Price plans are typically two-part tariffs with quantity discounts. • The number of plans varies from 1 to 9. • Plans normally include a peak-load component and airtime allowance. • Our focus: Retail market and peak period.

  21. Concavity of Tariffs

  22. Sources: Market Size • Cellular Business, various issues, 1984-1988: • Cell sites. • Start-up date. • Remarks: • Output level is not directly observable. • Each cell site represents between 1,100 to 1,300 subscribers. • In a sample of 22 observations in 8 markets between 1985 and 1987, the correlation between number of cells and subscribers was about 0.92. • Market shares of competing firms are not known (except for the above mentioned markets).

  23. Sources: Factor Prices

  24. Sources: Demand

  25. Cellular Phones and Security

  26. The Model

  27. Demand • Duopoly. Horizontally differentiated products: • Monopoly:

  28. Distribution of Types • Burr type XII distribution: • Market specific markups:

  29. Cost • Cost function: • Marginal cost specification:

  30. Monopoly Solution • The monopolist solves the following mechanism: • Optimal tariff: • Optimal purchase:

  31. Monopoly: Stochastic Structure • First stage quadratic approximation: • Measurement errors: Optional two-part tariffs vs. fully nonlinear tariff. • Interpretation of first stage coefficients:

  32. How does the model work?

  33. How does the model work? 0 AIRTIME 500

  34. How does the model work?

  35. How does the model work?

  36. How does the model work?

  37. Approximation Error

  38. Approximation Error

  39. Approximation Error

  40. Identification of Structural Param. • Highest consumer type: • Distribution parameter: • Marginal cost:

  41. Participation Constraint • Marginal consumer type: • Determinants of participation:

  42. Duopoly: Quadratic Tariffs • Basic assumption: • Redefinition of types:

  43. Duopoly: Distribution of Types • Joint Distribution of types (Sarmanov): • Marginal Distribution of Types (Burr type XII):

  44. Duopoly: Solution • Duopolist 1 solves the following mechanism: • Optimal tariff payment and purchase:

  45. Duopoly: Stochastic Structure • First stage regressions: • Measurement errors: Optional two-part tariffs vs. fully nonlinear tariff. • Interpretation of first stage regression estimates:

  46. Identification of Structural Param. • Highest consumer type: • Marginal consumer type:

  47. Identification of Structural Param. • Distribution parameters (implements Nash perfection): • Marginal cost:

  48. Estimation

  49. Further Identification Restrictions • Reduced form parameters: • Structural parameters of interest: • Still need to fix:

  50. Estimation of Demand Parameters • Makes use of a smaller sample (of the largest markets) for which the number of subscribers of both firms is available for a couple of years. • It is assumed that consumers do not differ in their substitution pattern conditional on their observed characteristics. • System estimation from the necessary conditions of consumption: