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Why are product prices in online markets not converging?
http://hdl.handle.net/2261/53635
http://hdl.handle.net/2261/5363586fda226-90bb-4015-afc9-0a7cf40eb2ca
名前 / ファイル | ライセンス | アクション |
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wp007.pdf (152.3 kB)
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Item type | テクニカルレポート / Technical Report(1) | |||||
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公開日 | 2015-05-11 | |||||
タイトル | ||||||
タイトル | Why are product prices in online markets not converging? | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_18gh | |||||
タイプ | technical report | |||||
著者 |
Mizuno, Takayuki
× Mizuno, Takayuki× Watanabe, Tsutomu |
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著者所属 | ||||||
著者所属 | National Institute of Informatics | |||||
著者所属 | ||||||
著者所属 | Graduate School of Echonomics, University of Tokyo | |||||
著者所属 | ||||||
著者所属 | The Canon Institute for Global Studies | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Why are product prices in online markets dispersed in spite of very small search costs? To address this question, we construct a unique dataset from a Japanese price comparison site, which records price quotes offered by e-retailers as well as customers’ clicks on products, which occur when they proceed to purchase the product. We find that the distribution of prices retailers quote for a particular product at a particular point in time (divided by the lowest price) follows an exponential distribution, showing the presence of substantial price dispersion. For example, 20 percent of all retailers quote prices that are more than 50 percent higher than the lowest price. Next, comparing the probability that customers click on a retailer with a particular rank and the probability that retailers post prices at a particular rank, we show that both decline exponentially with price rank and that the exponents associated with the probabilities are quite close. This suggests that the reason why some retailers set prices at a level substantially higher than the lowest price is that they know that some customers will choose them even at that high price. Based on these findings, we hypothesize that price dispersion in online markets stems from heterogeneity in customers’ preferences over retailers; that is, customers choose a set of candidate retailers based on their preferences, which are heterogeneous across customers, and then pick a particular retailer among the candidates based on the price ranking. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 2012~2016年度科学研究費補助金[基盤研究(S)]「長期デフレの解明」(研究代表者 東京大学経済学研究科・渡辺努, 課題番号:24223003) | |||||
書誌情報 |
JSPS Grants-in-Aid for Scientific Research (S) Understanding Persistent Deflation in Japan Working Paper Series 巻 007, 発行日 2013-04 |
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出版者 | ||||||
出版者 | UTokyo Price Project | |||||
関係URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.price.e.u-tokyo.ac.jp/researchdata/ | |||||
異版あり | ||||||
関連タイプ | hasVersion | |||||
識別子タイプ | URI | |||||
関連識別子 | http://www.carf.e.u-tokyo.ac.jp/workingpaper/F314.html |