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Spatial Search

Author

Listed:
  • Xiaoming Cai
  • Pieter Gautier
  • Ronald Wolthoff
  • Pieter A. Gautier

Abstract

This paper considers a random search model where some locations provide sellers with better chances of meeting many buyers than other locations (for example popular shopping streets or the first page of a search engine). When sellers are heterogeneous in terms of the quality of their product and/or the probability that a given buyer likes their product, it is desirable that sellers of high-quality niche products sort into the best locations. We show that this does not always happen in a decentralized market. Finally, we allow for endogenous location distributions and show that more trades are realized when locations are similar (in which case the aggregate matching function is urn-ball) but that quality weighted trade can be higher when locations are heterogeneous.

Suggested Citation

  • Xiaoming Cai & Pieter Gautier & Ronald Wolthoff & Pieter A. Gautier, 2024. "Spatial Search," CESifo Working Paper Series 10978, CESifo.
    • Handle: RePEc:ces:ceswps:_10978
    as

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    References listed on IDEAS

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    2. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2008. "Spatial wage disparities: Sorting matters!," Journal of Urban Economics, Elsevier, vol. 63(2), pages 723-742, March.
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    More about this item

    Keywords

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    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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