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  • 1
    Electronic Resource
    Electronic Resource
    Bingley : Emerald
    The @journal of product & brand management 13 (2004), S. 279-288 
    ISSN: 1061-0421
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Economics
    Notes: This paper has three objectives. First, we develop an equilibrium pricing model in which consumers have incomplete information about both product qualities and prices. Specifically, manufacturers can use high prices to signal high quality to uninformed consumers. Furthermore, prices of any given brand can vary geographically across retail outlets. We show that previous models are special cases of our model. Specifically, the hedonic regression model assumes that consumers have full information about all product qualities and prices. Second, we propose a methodology for testing price-signaling models. Third, we test our model using data from consumer reports for several consumer durable and nondurable products. The results show that firms use prices to signal quality, regardless of whether they market durable or nondurable products. The results do not support the popular theory that markets for experience goods are more efficient than those for search goods. Finally, our model outperforms the standard hedonic regression model for four of the five product categories analyzed.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Marketing letters 5 (1994), S. 77-89 
    ISSN: 1573-059X
    Keywords: market efficiency ; relationship between price and quality ; product markets with incomplete information
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Abstract This paper proposes a new methodology to measure product market efficiency. Our approach is based on the economic theory of product market equilibrium where consumers have incomplete information, and it allows quality to be multidimensional. We illustrate the methodology and compare it with other methodologies including the data envelopment analysis (DEA)-based procedure of Kamakura, Ratchford, and Agrawal (1988). The empirical results show that our model is robust to the precise distributional form of the disturbance term. In addition, our efficiency estimates are always equal to or lower than the DEA estimates of efficiency.
    Type of Medium: Electronic Resource
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