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The Role of Quality in Service Markets Organized as Multi-Attribute Auctions

Author

Listed:
  • Elena Krasnokutskaya

    (Department of Economics, Johns Hopkins University)

  • Kyungchul Song

    (Department of Economics, University of British Columbia)

  • Xun Tang

    (Department of Economics, University of Pennsylvania)

Abstract

We develop an empirical methodology to study markets for services. These markets are typically organized as multi-attribute auctions in which buyers take into account seller's price as well as various characteristics, including quality. Our identification and estimation strategies exploit observed buyers' and sellers' decisions to recover the distribution of sellers' qualities, the distribution of seller's costs conditional on quality, and the distribution of buyers' tastes. Our empirical results from the on-line market for programming services confirm that quality plays an important role. We use our estimates to study the effect of licensing restrictions and to assess the loss of value from using standard rather than multi-attribute auctions as is common in public procurement.

Suggested Citation

  • Elena Krasnokutskaya & Kyungchul Song & Xun Tang, 2013. "The Role of Quality in Service Markets Organized as Multi-Attribute Auctions," PIER Working Paper Archive 13-053, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    • Handle: RePEc:pen:papers:13-053
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    References listed on IDEAS

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    Cited by:

    1. Lee, Sokbae & Song, Kyungchul & Whang, Yoon-Jae, 2018. "Testing For A General Class Of Functional Inequalities," Econometric Theory, Cambridge University Press, vol. 34(5), pages 1018-1064, October.
    2. NAKABAYASHI Jun & HIROSE Yohsuke, 2016. "Structural Estimation of the Scoring Auction Model," Discussion papers 16008, Research Institute of Economy, Trade and Industry (RIETI).
    3. Hidenori Takahashi, 2018. "Strategic design under uncertain evaluations: structural analysis of design‐build auctions," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 594-618, September.
    4. Tunay I. Tunca & D. J. Wu & Fang (Vivian) Zhong, 2014. "An Empirical Analysis of Price, Quality, and Incumbency in Procurement Auctions," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 346-364, July.
    5. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers 09/14, Institute for Fiscal Studies.

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    More about this item

    Keywords

    quality; services; licensing; procurement; multi-attribute auctions; identification; unobserved heterogeneity; unobserved buyers'tastes; participation in auctions;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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