作者: Octavian Carare
DOI: 10.1111/J.1468-2354.2012.00698.X
关键词: Rank (computer programming) 、 Ranking 、 Estimation 、 Willingness to pay 、 Marketing 、 Advertising 、 On demand 、 App store 、 Economics 、 Discrete choice
摘要: This article uses daily data on the ranking by sales of top 100 apps sold through Apple’s App Store to provide evidence causal impact today’s bestseller rank information tomorrow’s demand. The estimates indicate that willingness pay consumers is about $4.50 greater for a ranked app than same unranked app. results also effects status decline steeply with at ranks, but remain economically significant in first half list.