重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

Discounting and the portfolio of desires.

贴现 文件夹 经济 计量经济学 微观经济学 前景理论 金融经济学 财务
作者
Peter R. Killeen
出处
期刊:Psychological Review [American Psychological Association]
卷期号:130 (5): 1310-1325 被引量:5
标识
DOI:10.1037/rev0000447
摘要

The additive utility theory of discounting is extended to probability and commodity discounting. Because the utility of a good and the disutility of its delay combine additively, increases in the utility of a good offset the disutility of its delay: Increasing the former slows the apparent discount even with the latter, time-disutility, remaining invariant, giving the magnitude effect. Conjoint measurement showed the subjective value of money to be a logarithmic function of its amount, and subjective probability-the probability weighting function-to be Prelec's (1998). This general theory of discounting (GTD) explains why large amounts are probability discounted more quickly, giving the negative magnitude effect. Whatever enhances the value of a delayed asset, such as its ability to satisfy diverse desires, offsets its delay and reduces discounting. Money's liquidity permits optimization of the portfolio of desired goods, providing added value that accounts for its shallow temporal discount gradient. GTD predicts diversification effects for delay but none for probability discounting. Operations such as episodic future thinking that increase the larder of potential expenditures-the portfolio of desirable goods-increase the value of the asset, flattening the discount gradient. States that decrease the larder, such as stress, depression, and overweening focus on a single substance like a drug, constrict the portfolio, decreasing its utility and thereby steepening the gradient. GTD provides a unified account of delay, probability, and cross-commodity discounting. It explains the effects of motivational states, dispositions, and cognitive manipulations on discount gradients. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
有魅力的盼旋完成签到 ,获得积分10
1秒前
贤惠的芫完成签到,获得积分10
1秒前
共享精神应助碧蓝的往事采纳,获得10
1秒前
2秒前
wwwwwzzzzz发布了新的文献求助10
2秒前
王红鑫完成签到,获得积分10
2秒前
2秒前
爱因斯敏完成签到 ,获得积分10
3秒前
3秒前
3秒前
physic发布了新的文献求助10
3秒前
Jasper应助zhouzhou采纳,获得40
3秒前
3秒前
3秒前
key发布了新的文献求助10
4秒前
我的小羊发布了新的文献求助10
4秒前
浮游应助ly普鲁卡因采纳,获得10
4秒前
快冲冲冲完成签到 ,获得积分10
5秒前
jackie发布了新的文献求助20
6秒前
aaxs发布了新的文献求助10
6秒前
橙子橙子橙子完成签到,获得积分10
6秒前
浮游应助体贴的小天鹅采纳,获得10
6秒前
放飞的羊驼完成签到,获得积分10
6秒前
wzzznh发布了新的文献求助10
6秒前
jason发布了新的文献求助10
6秒前
淇淇发布了新的文献求助10
6秒前
yu发布了新的文献求助10
7秒前
好运6连发布了新的文献求助10
7秒前
量子星尘发布了新的文献求助10
7秒前
忧心的翎发布了新的文献求助10
8秒前
小鱼鱼发布了新的文献求助10
8秒前
浮游应助xuerui采纳,获得10
9秒前
9秒前
山海关外完成签到,获得积分10
9秒前
9秒前
newman发布了新的文献求助10
9秒前
沉默的不言完成签到 ,获得积分10
10秒前
123l发布了新的文献求助10
10秒前
11秒前
Hello应助Ammon采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
Unraveling the Causalities of Genetic Variations - Recent Advances in Cytogenetics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5465885
求助须知:如何正确求助?哪些是违规求助? 4570113
关于积分的说明 14322653
捐赠科研通 4496569
什么是DOI,文献DOI怎么找? 2463432
邀请新用户注册赠送积分活动 1452314
关于科研通互助平台的介绍 1427516