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A Study of Pricing Evolution in the Online Toy Market

  • Zhenlin Yang

    (School of Economics and Social Sciences, Singapore Management University, Singapore)

  • Lydia Gan

    (Division of Economics,School of Humanities and Social Sciences, Nanyang Technological University, Singapore)

  • Fang-Fang Tang

    (Department of Marketing, Faculty of Business Administration, Chinese University of Hong Kong, Hong Kong)

We examine the pricing trends in the online toy markets based on a unique set of panel data collected across three years’ span. The analysis was made through panel data regression models with error components and serial correlation, allowing comparisons of prices and price dispersions between the two types of online retailers as well as examinations of dynamics of prices and price dispersions. Our results indicate that both online branch of multichannel retailers (OBMCRS) and dotcoms charge similar prices on average, and over time their prices move in tandem. Although the OBMCR retailers charge significantly different prices, the dotcoms do charge similar prices. Moreover, both retailer types demonstrate different magnitudes of price dispersion that move at different rates over time. Although the price dispersion of OBMCRS is higher than that of the dotcoms at the beginning, the gap narrows over time.

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Paper provided by Nanyang Technological University, School of Humanities and Social Sciences, Economic Growth Centre in its series Economic Growth Centre Working Paper Series with number 0704.

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Length: 24 pages
Date of creation: Apr 2007
Date of revision:
Handle: RePEc:nan:wpaper:0704
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  1. Kathy Baylis & Jeffrey Perloff, 2002. "Price Dispersion on the Internet: Good Firms and Bad Firms," Review of Industrial Organization, Springer, vol. 21(3), pages 305-324, November.
  2. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
  3. Michael R. Baye & John Morgan & Patrick Scholten, 2006. "Persistent Price Dispersion in Online Markets," Chapters, in: The New Economy and Beyond, chapter 6 Edward Elgar.
  4. Michael R. Baye & John Morgan, 2001. "Information Gatekeepers on the Internet and the Competitiveness of Homogeneous Product Markets," American Economic Review, American Economic Association, vol. 91(3), pages 454-474, June.
  5. Dana, James D, Jr, 2001. "Competition in Price and Availability When Availability is Unobservable," RAND Journal of Economics, The RAND Corporation, vol. 32(3), pages 497-513, Autumn.
  6. Clay, Karen, et al, 2002. "Retail Strategies on the Web: Price and Non-price Competition in the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 351-67, September.
  7. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(06), pages 814-823, December.
  8. Eric K. Clemons & Il-Horn Hann & Lorin M. Hitt, 2002. "Price Dispersion and Differentiation in Online Travel: An Empirical Investigation," Management Science, INFORMS, vol. 48(4), pages 534-549, April.
  9. Michael Smith & Erik Brynjolfsson, 1999. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Computing in Economics and Finance 1999 1022, Society for Computational Economics.
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