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Targeted search and the long tail effect

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  • Huanxing Yang

Abstract

type="main"> We develop a search model to explain the long tail effect. Search targetability, or the quality of search, is explicitly modelled. Consumers are searching for the right products within the right categories. As search costs decrease, or search targetability increases, additional variety of goods catering to long tail consumers will be provided, and the concentration of sales across different categories of goods decreases. The effects of a decrease in search costs or an increase in search targetability on consumer utility, prices, and profits depend on whether the type coverage increases. Decreases in search costs and increases in search targetability have different qualitative effects.

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  • Huanxing Yang, 2013. "Targeted search and the long tail effect," RAND Journal of Economics, RAND Corporation, vol. 44(4), pages 733-756, December.
  • Handle: RePEc:bla:randje:v:44:y:2013:i:4:p:733-756
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    Cited by:

    1. Bo Zhou & Tianxin Zou, 2023. "Competing for Recommendations: The Strategic Impact of Personalized Product Recommendations in Online Marketplaces," Marketing Science, INFORMS, vol. 42(2), pages 360-376, March.
    2. Jidong Zhou, 2020. "Improved Information in Search Markets," Cowles Foundation Discussion Papers 2264R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2022.
    3. Gong Qiang & Pan Siqi & Yang Huanxing, 2019. "Targeted Advertising on Competing Platforms," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-20, January.
    4. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
    5. Roberto Burguet & Vaiva Petrikaite, 2017. "Targeted Advertising and Costly Consumer Search," Working Papers 971, Barcelona School of Economics.
    6. Laurina Zhang, 2018. "Intellectual Property Strategy and the Long Tail: Evidence from the Recorded Music Industry," Management Science, INFORMS, vol. 64(1), pages 24-42, January.
    7. Xu, Yujing & Yang, Huanxing, 2019. "Targeted search with horizontal differentiation in the marriage market," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 31-62.
    8. Cheremukhin, Anton & Restrepo-Echavarria, Paulina & Tutino, Antonella, 2020. "Targeted search in matching markets," Journal of Economic Theory, Elsevier, vol. 185(C).
    9. Casner, Ben, 2020. "Seller curation in platforms," International Journal of Industrial Organization, Elsevier, vol. 72(C).
    10. Fershtman, Chaim & Fishman, Arthur & Zhou, Jidong, 2018. "Search and categorization," International Journal of Industrial Organization, Elsevier, vol. 57(C), pages 225-254.
    11. Alexandre de Cornière, 2016. "Search Advertising," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 156-188, August.
    12. Marcel Preuss, 2023. "Search, learning, and tracking," RAND Journal of Economics, RAND Corporation, vol. 54(1), pages 54-82, March.
    13. Zemin (Zachary) Zhong, 2023. "Platform Search Design: The Roles of Precision and Price," Marketing Science, INFORMS, vol. 42(2), pages 293-313, March.
    14. Donghan Shin & Hyunbae Chun, 2023. "The Rise of E-Commerce and the Local Wage Structure: Evidence from the Korean Retail Industry," Korean Economic Review, Korean Economic Association, vol. 39, pages 315-345.
    15. Huanxing Yang, 2020. "Targeted search, endogenous market segmentation, and wage inequality," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(2), pages 367-414, March.
    16. Matt Wimble & John Tripp & Brandis Phillips & Nash Milic, 2016. "On search cost and the long tail: the moderating role of search cost," Information Systems and e-Business Management, Springer, vol. 14(3), pages 507-531, August.
    17. Renaud Foucart, 2017. "Group Consumption and Product Diversity: The Case of Smoking Bans," Journal of Industrial Economics, Wiley Blackwell, vol. 65(3), pages 559-584, September.
    18. Li, Dongkun & Chen, Yufeng & Miao, Jiafeng, 2022. "Does ICT create a new driving force for manufacturing?—Evidence from Chinese manufacturing firms," Telecommunications Policy, Elsevier, vol. 46(1).
    19. Hervas-Drane, Andres, 2015. "Recommended for you: The effect of word of mouth on sales concentration," International Journal of Research in Marketing, Elsevier, vol. 32(2), pages 207-218.
    20. Luis Aguiar Wicht, 2019. "Going Mobile: The Effects of Smartphone Usage on Internet Consumption," JRC Working Papers on Digital Economy 2019-07, Joint Research Centre.
    21. Jian Pei, 2020. "A Survey on Data Pricing: from Economics to Data Science," Papers 2009.04462, arXiv.org, revised Nov 2020.
    22. Ben Casner, 2021. "Learning while shopping: an experimental investigation into the effect of learning on consumer search," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 238-273, March.
    23. Miao Chun-Hui, 2020. "Search and Bidding Costs," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-7, April.

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