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Qme-Quantitative Marketing and Economics最新文献

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Keywords, limited consideration, and organic product listings 关键词,有限考虑,有机产品列表
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-10-29 DOI: 10.1007/s11129-021-09240-3
P. Landry
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引用次数: 0
Estimating expectations-based reference-price effects in the used-car retail market 二手车零售市场中基于预期的参考价格效应的估计
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-10-06 DOI: 10.1007/s11129-021-09239-w
Guofang Huang, Haiyan Liu
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引用次数: 1
Leveraging loyalty programs using competitor based targeting 利用基于竞争对手的目标定位来利用忠诚度计划
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-07-25 DOI: 10.1007/s11129-021-09237-y
Wayne J. Taylor, Brett Hollenbeck
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引用次数: 2
Selling mechanisms for perishable goods: An empirical analysis of an online resale market for event tickets 易腐商品的销售机制:活动门票在线转售市场的实证分析
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-05-04 DOI: 10.1007/s11129-021-09236-z
Caio Waisman
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引用次数: 9
Are e-books a different channel? Multichannel management of digital products 电子书是一个不同的渠道吗?数字化产品的多渠道管理
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-03-23 DOI: 10.1007/s11129-021-09235-0
Hui Li
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引用次数: 6
Geography as branding: Descriptive evidence from Taobao 地理作为品牌:来自淘宝的描述性证据
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-02-13 DOI: 10.1007/s11129-020-09232-9
Pradeep K. Chintagunta, Junhong Chu
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引用次数: 8
Distilling network effects from Steam 从Steam中提炼网络效应
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-02-05 DOI: 10.2139/ssrn.3780303
José Tudón
This paper develops a method to estimate the demand for network goods, using minimal network data, but leveraging within-consumer variation. I estimate demand for video games as a function of individuals’ social networks, prices, and qualities, using data from Steam, the largest video game digital distributor in the world. I separately identify price elasticities on individuals with and without friends with the same game, conditional on individual fixed effects and games’ characteristics. I then use the discrepancies between estimated price elasticities to identify the impact of social networks. I compare my method to “traditional-IV” strategies in the literature, which require detailed network data, and find similar results. A 1% increase in friends’ demands, increases demand by .13%. In counterfactual simulations, I find demand increases by about 5% from a promotional giveaway to “influencers,” those users in the top 1% of popularity in the network.
本文开发了一种估算网络商品需求的方法,使用最小的网络数据,但利用消费者内部的变化。我使用来自Steam(世界上最大的电子游戏数字分销商)的数据,将电子游戏的需求作为个人社交网络、价格和质量的函数进行估算。根据个人固定效应和游戏特性,我分别确定了有朋友和没有朋友玩同一款游戏的个人的价格弹性。然后,我使用估计价格弹性之间的差异来确定社会网络的影响。我将我的方法与文献中需要详细网络数据的“传统iv”策略进行了比较,并发现了类似的结果。朋友的需求每增加1%,需求就会增加0.13%。在反事实的模拟中,我发现,向“影响者”(网络中人气最高的1%的用户)提供促销赠品,需求增加了约5%。
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引用次数: 0
Benefit Formation and Enhancement 利益形成与提升
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2020-10-10 DOI: 10.1007/s11129-020-09228-5
Hyowon Kim, Dong Soo Kim, Greg M. Allenby
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引用次数: 1
Mergers with endogenous product choice: The case of the ready-to-eat cereal industry 内生产品选择的合并:即食谷物行业的案例
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2020-10-05 DOI: 10.1007/s11129-022-09259-0
Federico M. Rossi
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引用次数: 2
Industry-funded research and bias in food science 行业资助的食品科学研究与偏见
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2020-09-14 DOI: 10.1007/s11129-021-09244-z
A. Rao
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引用次数: 2
期刊
Qme-Quantitative Marketing and Economics
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