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Organizational Structure and Pricing: Evidence from a Large U.S. Airline

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Listed:
  • Ali Hortaçsu
  • Olivia R. Natan
  • Hayden Parsley
  • Timothy Schwieg
  • Kevin R. Williams

Abstract

Firms facing complex objectives often decompose the problems they face, delegating different parts of the decision to distinct sub-units. Using comprehensive data and internal models from a large U.S. airline, we establish that airline pricing is not well approximated by a model of the firm as a unitary decision-maker. We show that observed prices, however, can be rationalized by accounting for organizational structure and for the decisions by departments that are tasked with supplying inputs to the observed pricing heuristic. Simulating the prices the firm would charge if it were a rational, unitary decision-maker results in lower welfare than we estimate under observed practices. Finally, we discuss why counterfactual estimates of welfare and market power may be biased if prices are set through decomposition, but we instead assume that they are set by unitary decision-makers.

Suggested Citation

  • Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," NBER Working Papers 29508, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29508
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    Cited by:

    1. Victor Aguirregabiria & Francis Guiton, 2022. "Decentralized Decision-Making in Retail Chains: Evidence from Inventory Management," Working Papers tecipa-722, University of Toronto, Department of Economics.
    2. Robert Evan Sanders, 2024. "Dynamic Pricing and Organic Waste Bans: A Study of Grocery Retailers’ Incentives to Reduce Food Waste," Marketing Science, INFORMS, vol. 43(2), pages 289-316, March.
    3. James D. Dana Jr. & Kevin R. Williams, 2018. "This paper develops an oligopoly model in which firms first choose capacity and then compete in prices in a series of advance-purchase markets. We show the existence of multiple sales opportunities cr," Cowles Foundation Discussion Papers 2136R4, Cowles Foundation for Research in Economics, Yale University, revised Nov 2021.
    4. James D. Dana & Kevin R. Williams, 2022. "Intertemporal Price Discrimination in Sequential Quantity-Price Games," Marketing Science, INFORMS, vol. 41(5), pages 966-981, September.
    5. Michele Fioretti & Junnan He & Jorge Tamayo, 2024. "Prices and Concentration: A U-shape? Theory and Evidence from Renewables," Papers 2407.03504, arXiv.org.
    6. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313, Cowles Foundation for Research in Economics, Yale University.

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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

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