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The price elasticity of warm-glow giving

机译:暖发给出的价格弹性

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We examine the charitable giving behavior of warm-glow givers in response to the same donation incentive structure, but with formally different schemes. At this aim we implement a large online survey (N=1655) using the Amazon Mechanical Turk platform. First, we elicit and measure warm-glow giving. Then, we employ a between-subjects design in which each warm-glow donor (N=881) is randomly assigned to one of two treatment groups that differ for the subsidy (rebate or matching) and is asked to make a series of allocation decisions between himself and a charity of his choice. The results show that contributions are significantly more responsive to matching (-1.15) than to rebate subsidies (-0.17). Moreover, we provide evidence that, under rebate, price elasticity decreases as the warm-glow magnitude increases. For weak warm-glow givers, price elasticity is double that for strong warm-glow donors. (C) 2019 Elsevier B.V. All rights reserved.
机译:我们审查了慈善发出奖励的慈善行为,以应对同一捐赠激励结构,但具有正式不同的计划。在此目的,我们使用亚马逊机械土耳其平台实现大型在线调查(n = 1655)。首先,我们引发和测量热焕发。然后,我们采用受试者的主题设计,其中每个暖发作给体供体(n = 881)随机分配给两个治疗组中的一个,这对于补贴(折扣或匹配)不同,并被要求制作一系列分配决策在他自己和他选择的慈善之间。结果表明,贡献对匹配(-1.15)而言比回扣补贴(-0.17)更为敏感。此外,我们提供了证据,因为在暖发幅度增加时,价格弹性降低。对于弱热熔动力,价格弹性是强大的热熔捐赠者的双倍。 (c)2019 Elsevier B.v.保留所有权利。

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