A quantitative analysis of heuristics and discounting models of intertemporal choice
A quantitative analysis of heuristics and discounting models of intertemporal choice
批准号:
1062045
负责人:
Michel Regenwetter
金额:
$47.91万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-01 至 2016-07-31
中文摘要
从历史上看,贴现效用模型被认为是人们如何在跨期前景之间做出选择的合适模型(例如,在今天收到一定数额的钱和未来某个日期的钱加利息之间做出选择。)然而,有大量证据表明,实际行为系统地偏离了模型的预测。在文献中已经提出了各种替代方案。其中一些偏离了折扣效用指数贴现的假设,而另一些则假设跨期选择是基于简单决策启发式的应用。在这个研究项目中,PI(与德国马克斯·普朗克人类发展研究所适应行为和认知中心的Jeffrey R.Steven博士的实验室密切合作)将为跨期选择开发成熟的竞争理论的概率规范,并应用不受聚集假象影响的定量方法来测试它们的相对准确性。从全球气候变化和抗击肥胖症等集体决策,到饮酒和投资退休计划等更个人化的决策,跨期选择构成了许多社会最紧迫决策的基础。事实上,我们所做的所有决定都有时间因素。这使得跨期选择适用于广泛的学科(例如,经济学、心理学、生物学、神经科学、金融学、医学、环境科学)。尽管这个话题引起了广泛的兴趣,但在我们对个人如何做出跨期选择的知识方面,仍然存在着严重的差距。这项申请中提出的研究具有重要意义,因为它将使我们能够调查个体在做出跨期选择时使用的不同认知过程。同样重要的是个体之间的差异问题。我们希望在不同的人之间显示出强烈的质量差异,而不是将变异视为数据中的噪音。就更广泛的影响而言,这可能还会允许简单的“推动”通过定制个人决策情景来帮助人们做出更好的决策,从而将重点放在健康生活方式、安全的财务未来和环境管理的长期利益上。这些科学发现将影响未来对基础和应用决策科学家的培训。通过消除主要的人工制品来源,该项目可以帮助改善未来社会决策的各个层面。
英文摘要
The Discounted Utility model has, historically, been regarded as the appropriate model of how people make choices between intertemporal prospects (e.g., between receiving some amount of money today versus that amount of money plus interest at some future date.) However, there is abundant evidence that actual behavior systematically departs from the predictions of the model. A variety of alternatives have been proposed in the literature. Some of these depart from Discounted Utility's assumption of exponential discounted while others assume that intertemporal choices are made based on the application of simple decision heuristics. In this research project, the PI (in close cooperation with Dr. Jeffrey R. Steven's lab at the Center for Adaptive Behavior and Cognition at the Max Planck Institute for Human Development, Germany) will develop full-fledged probabilistic specifications of competing theories for intertemporal choice and apply quantitative methods immune from aggregation artificacts to test their relative veracity. Intertemporal choices underlie many of society's most pressing decisions, from collective decisions such as global climate change and the war on obesity to more personal decisions such as consuming alcohol and investing in retirement plans. Virtually all decisions we make have a temporal component. This makes intertemporal choice relevant across a broad range of disciplines (e.g., economics, psychology, biology, neuroscience, finance, medicine, environmental science). Despite the extensive interest in this topic, there still is a critical gap in our knowledge of how individuals make intertemporal choices. The research proposed in this application is significant because it will allow us to investigate the different cognitive processes that individuals use when making intertemporal choices. Equally significant is the question of interindividual differences. Rather than dismissing variation as noise in the data, we expect to show strong qualitative differences among different people. In terms of broader impacts, this may allow simple ``nudges'' to help people make better decisions by customizing individual decision scenarios to focus on the long-term benefits of a healthy lifestyle, a secure financial future, and environmental stewardship. The scientific findings will impact future training of basic and applied decision scientists. By eliminating major sources of artifacts, the project can help improve all levels of societal decision making in the future.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Predicting similarity judgments in intertemporal choice with machine learning
通过机器学习预测跨期选择中的相似性判断
DOI:
10.3758/s13423-017-1398-1
发表时间:
2018
期刊:
Psychonomic Bulletin & Review
影响因子:
3.5
作者:
[Stevens, Jeffrey R., Soh, Leen-Kiat]
通讯作者:
Soh, Leen-Kiat
Advances in behavioral decision analytics: Theory, Applications, and Training
-
批准号:2049896
-
项目类别:Continuing Grant
-
资助金额:$58.5万
-
财政年份:2021
-
负责人:Michel Regenwetter
-
依托单位:
Collaborative Research: Invariants of Decision Making
-
批准号:1459699
-
项目类别:Continuing Grant
-
资助金额:$29.99万
-
财政年份:2015
-
负责人:Michel Regenwetter
-
依托单位:
ICES: Small: Collaborative Proposal: Robust Preference Aggregation
-
批准号:1216016
-
项目类别:Standard Grant
-
资助金额:$5.27万
-
财政年份:2012
-
负责人:Michel Regenwetter
-
依托单位:
A quantitative behavioral framework for individual and social choice
-
批准号:0820009
-
项目类别:Standard Grant
-
资助金额:$38.15万
-
财政年份:2008
-
负责人:Michel Regenwetter
-
依托单位:
Collaborative Research on Probabilistic Models of Social Choice
-
批准号:0296019
-
项目类别:Continuing Grant
-
资助金额:$11.5万
-
财政年份:2001
-
负责人:Michel Regenwetter
-
依托单位:
Random Utility 2000
-
批准号:9818756
-
项目类别:Standard Grant
-
资助金额:$3.0万
-
财政年份:1999
-
负责人:Michel Regenwetter
-
依托单位:
Collaborative Research on Probabilistic Models of Social Choice
-
批准号:9730076
-
项目类别:Continuing Grant
-
资助金额:$11.5万
-
财政年份:1998
-
负责人:Michel Regenwetter
-
依托单位:
国内基金
海外基金
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