2008
DOI: 10.1111/j.1574-0862.2008.00298.x
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Price determinants in top‐quality e‐auctioned specialty coffees

Abstract: We analyze the price determinants of specialty coffees traded at e-auctions. We hypothesize that since specialty coffees are a highly differentiated product, prices will be determined by both sensory and reputation attributes. To test our hypotheses, we estimate a hedonic price function using data from Central and South American e-auctions and calculate the implicit prices of sensory and reputation attributes. The results show that market clearing prices are a function of sensory characteristics and reputation… Show more

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Cited by 37 publications
(54 citation statements)
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“…The CoE records for each lot include the final auction price (before shipping costs), quality score, cupping notes, extensive farm data including growing conditions and processing methods, and the buyers’ names. Donnet et al () use a similar data set to estimate hedonic prices in coffee, spanning the 2003–2006 CoE auctions. Teuber and Herrmann () use a similar data set to Donnet et al (), spanning 2003–2009.…”
Section: Data and Replication Of Previous Modelmentioning
confidence: 99%
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“…The CoE records for each lot include the final auction price (before shipping costs), quality score, cupping notes, extensive farm data including growing conditions and processing methods, and the buyers’ names. Donnet et al () use a similar data set to estimate hedonic prices in coffee, spanning the 2003–2006 CoE auctions. Teuber and Herrmann () use a similar data set to Donnet et al (), spanning 2003–2009.…”
Section: Data and Replication Of Previous Modelmentioning
confidence: 99%
“…To our knowledge, only a small group of papers have been published in this area: Donnet et al. (, ), Teuber (, ), and Teuber and Herrmann () published studies on price determinants for specialty coffee using a hedonic model. Their studies, and indeed the subject of coffee price determinants in general, have been mostly ignored and not critiqued by the community of economists despite its fundamental nature.…”
Section: Introductionmentioning
confidence: 99%
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“…Examples include hedonic analyses of coffee prices (e.g. (Donnet et al., , ; Teuber and Herrmann, ), wine prices (Oczkowski, ), and cowpea prices (Faye et al., ; Mishili et al., ). These studies analyze the factors that influence consumer choices and thus inform marketing decisions and product development.…”
Section: Estimation Strategymentioning
confidence: 99%