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Robust pricing with refunds
The RAND Journal of Economics ( IF 2.8 ) Pub Date : 2020-12-04 , DOI: 10.1111/1756-2171.12348
Toomas Hinnosaar 1 , Keiichi Kawai 2
Affiliation  

Before purchase, a buyer of an experience good learns about the product's fit using various information sources, including some of which the seller may be unaware of. The buyer, however, can conclusively learn the fit only after purchasing and trying out the product. We show that the seller can use a simple mechanism to take best advantage of the buyer's post‐purchase learning to maximize his guaranteed‐profit. We show that this mechanism combines a generous refund, which performs well when the buyer is relatively informed, with non‐refundable random discounts, which work well when the buyer is relatively uninformed.

中文翻译:

可靠的定价和退款

在购买体验产品之前,购买者会使用各种信息源了解产品的适用性,其中包括卖方可能不知道的一些信息源。但是,只有在购买并试用产品后,购买者才能最终了解其合适性。我们表明,卖方可以使用一种简单的机制来充分利用买方的购后学习知识,以最大限度地提高其保证利润。我们证明了这种机制结合了慷慨的退款(当买家相对知情时效果很好)和不可退款的随机折扣(当买家相对不知情时效果很好)。
更新日期:2020-12-04
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