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Collaborative Proposal: A Randomized Experiment on the Causal Effect of Recipients' Race and Social Circumstances on the Provision of Disaster Relief to Katrina Victims

Collaborative Proposal: A Randomized Experiment on the Causal Effect of Recipients' Race and Social Circumstances on the Provision of Disaster Relief to Katrina Victims
合作提案:关于受援者种族和社会环境对卡特里娜飓风受害者提供救灾影响的随机实验
批准号:
0555049
负责人:
Christina Fong
金额:
$1.91万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-12-01 至 2007-11-30

项目摘要

项目成果

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中文摘要
翻译
这个项目将研究国家对卡特里娜飓风受害者慷慨的决定因素。虽然媒体报道充斥着这样的说法,即如果这些受害者在很大程度上不是来自少数群体和经济上处于不利地位的背景,国家会做出更强烈的反应,但没有科学证据反驳或支持这些说法。更普遍地说,公众对卡特里娜飓风受害者的慷慨是否取决于这些受害者的需求、行为和特征?本研究将通过一个具有全国代表性的随机实验来回答这些问题,在这个随机实验中,个人对卡特里娜飓风受害者的慷慨程度是通过给他们机会在自己和一个帮助卡特里娜飓风受害者的慈善组织之间分配一笔钱来衡量的。在测量他们对卡特里娜飓风受害者的慷慨程度之前,这个实验将通过问一系列有客观答案的问题来引出人们对卡特里娜飓风受害者的看法,比如受害者的种族构成、每个受害者得到的联邦援助的数量,或者拥有汽车的受害者的比例,他们可以在风暴来临之前用汽车疏散自己。接下来,将提供这些问题中随机选择的子集的正确答案,从而改变一些受试者的信念。这些信念的变化使人们能够估计受害者的特征、需求或行为对慷慨支持的因果影响。该项目的科学影响是根本性的,因为研究人员对具有全国代表性的样本中实际再分配的决定因素的了解有限。大部分已知信息来自调查数据,其中包括自我报告的对再分配、投票行为或慈善活动的偏好。然而,即使是最简单的客观问题(例如,在上次选举中如何投票)的自我报告数据也很容易出现系统性错误。为了解决这个问题,在实验室实验中进行了一些关于向真正的慈善机构和真正的穷人捐款的决定因素的研究。然而,这些研究也有明显的局限性,例如它们不是在具有全国代表性的样本上进行的。拟议的研究也有很大的方法论价值,因为它将阐明调查数据和实验室实验的发现如何在全国代表性样本中测量真实行为时复制。最后,本研究具有更广泛的影响。随着恐怖主义威胁的增加,我国越来越关注如何应对灾难。对这类威胁的反应有两类:事先的预防和准备以及事后的反应。这项研究将加深我们对美国人在人为或自然灾害发生后如何以及为什么做出反应的理解。
英文摘要
This project will study determinants of the nation's generosity towards Hurricane Katrina victims. While media reports have been rife with allegations that the nation would have responded more strongly if these victims had not come to a large extent from minority groups and economically disadvantaged backgrounds, there is no scientific evidence to rebut or support these allegations. More generally, does the public's generosity towards Katrina victims depend on the needs, behaviors and characteristics of these victims? This study will answer these questions using a randomized experiment on a nationally representative sample in which individuals' generosity towards Katrina victims is measured by giving them the opportunity to divide a sum of money between themselves and a charitable organization helping Katrina victims. Prior to measuring their generosity to Katrina victims, the experiment will elicit beliefs about Katrina victims by asking a set of questions that have objective answers, such as the racial composition of the victims, the amount of federal aid given to each victim, or the fraction of victims who owned cars that they could have used to evacuate themselves before the storm. Next, the correct answers to a randomly selected subset of these questions will be provided, thus changing some of the subjects' beliefs. These changes in beliefs allow one to estimate the causal effect of the victims' characteristics, needs or behaviors on the generosity of support. The scientific impact of this project is fundamental because researchers only have a limited understanding of determinants of actual redistribution in a nationally representative sample. Most of what is known comes from survey data containing self-reported preferences for redistribution, voting behaviors or charitable activities. However, self-reported data on even the simplest objective questions (e.g., how one voted in the last election) are highly prone to systematic error. To address this, a handful of studies have been conducted on the determinants of giving to real charities and real poor people in laboratory experiments. However, these studies have obvious limitations as well such as the fact that they are not conducted on nationally representative samples. There is also great methodological value to the proposed study because it will illuminate how findings from survey data and laboratory experiments replicate when real behavior is measured in a nationally representative sample. Finally, this study has a broader impact. Our nation has become increasingly concerned about how to respond to disasters as threats of terrorism have increased. There are two classes of response to such threats: prevention and preparation beforehand and responses afterward. This study will deepen our understanding of how and why Americans respond after a man-made or natural disaster has struck.
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