Measuring Prices and Price Competition Online: Amazon.com and BarnesandNoble.com

By J. Chevalier, Austan Goolsbee. 2003

475 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/fa2a99c89474be431574a066a59c6276032396bf

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Citations in the corpus

Using price distributions to estimate search costs (2006, background): “…and is especially true for online markets, in which price data are easily obtained but quantities are difficult to measure: indeed, recent work by Chevalier and Goolsbee (2003) illustrates how difficult it is to obtain quantity information about online commerce, and they use several methods—some…”
Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers (2003, methodology): “• Experimental estimation using power-law relationship between sales rank and sales and observation of changes in rank after purchase of goods (Chevalier and Goolsbee 2003, pp. 16-17).”
Show me the way to go home: an empirical investigation of ride sharing and alcohol related motor vehicle homicide (2015, unknown): “…advance platform theory (Birkland and Lawrence 2009), or focused on more traditional examples of internet platforms such as eBay or Amazon.com (Brynjolfsson et al. 2003, Chevalier and Goolsbee 2003, Forman et al. 2008), a recent burgeoning literature on the societal impact of platforms has emerged.”
Testing Models of Consumer Search Using Data on Web Browsing and Purchasing Behavior (2012, unknown): “Using equations (5a) and (5b), first rewrite the market share equation (6) as”
App Popularity: Where in the World are Consumers Most Sensitive to Price and User Ratings? (2018, methodology): “To operationalize our dependent variable of app popularity, sales rank data are typical for online products (e.g., Chevalier and Goolsbee 2003; Chevalier and Mayzlin 2006) and are the most often-used performance measure in studies calculating review elasticities (Floyd et al. 2014).”
The Impact of Bestseller Rank on Demand: Evidence from the App Market (2012, unknown): “…employed, consistent with the evidence of available data, in analyses of product sales in related markets; see e.g. the analyses of on-line book sales by Chevalier and Goolsbee (2003) and Brynjolfsson, Hu and Smith (2003), and the analysis of on-line software sales by Ghose and Sundararajan (2006).”
Prices, Spatial Competition, and Heterogenous Producers: An Empirical Test (2007, unknown): “Recent research such as Sorensen (2000); Clay, Krishnan, and Wolff (2001); Goolsbee and Brown (2002); Chevalier and Goolsbee (2003); Baye, Morgan, and Scholten (2004); and Goldberg and Verboven (2005) has inferred consumers' substitution possibilities (or lack thereof) from observed price…”
Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers (2017, unknown): “3See Chevalier and Goolsbee (2003), Brynjolfsson, Hu and Simester (2011), Edelman (2012), Cavallo, Neiman and Rigobon (2014), Gorodnichenko, Sheremirov and Talavera (2014), Simonovska (2015), Alvarez, Lippi and Le Bihan (2016), Cavallo (2016), and Gorodnichenko and Talavera (2016).”
Information, Search, and Price Dispersion (2006, background): “Further studies distinguish price levels depending on whether the retailer is a solely online or multichannel (cf. Chevalier and Goolsbee (2003) and; Tang and Xing (2001)).”
Retailer Pricing and Competitive Effects (2009, unknown): “Speciﬁcally, Chevalier and Goolsbee (2003) ﬁnd that the online price elasticity of demand for books is about − 3.5 for Barnes and Noble but only about − .45 for Amazon.”
Show Me the Way to Go Home: An Empirical Investigation of Ride-Sharing and Alcohol Related Motor Vehicle Fatalities (2017, background): “com (Brynjolfsson et al. 2003; Chevalier and Goolsbee 2003; Forman et al. 2008), a recent burgeoning literature on the societal impact of platforms has emerged.”
Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity (2009, methodology): “…an estimate for the music sales of debut albums is 0.724 (Hendricks and Sorensen 2007),10 and an estimate for the online book market is also near 0.75 (Chevalier and Goolsbee 2003).11 To fix a base case, we use k = 10 because the 0.72 Gini it produces matches the average of the estimates above.”