商业周期
计量经济学
经济
消费(社会学)
骨料(复合)
资产(计算机安全)
隐性成本
度量(数据仓库)
资本资产定价模型
福利
成本估算
随机贴现因子
微观经济学
计算机科学
成本会计
综合数据
估计
成本动因
四分之一(加拿大硬币)
相关成本
成本数据库
生产(经济)
核密度估计
市场数据
社会成本
精算学
不完全市场
经济指标
作者
Anisha Ghosh,Christian Julliard,Michael J. Stutzer
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2026-04-20
标识
DOI:10.1287/mnsc.2023.00484
摘要
We propose a novel approach to measure the cost of aggregate economic fluctuations that does not require complete specification of investors’ risk preferences or their beliefs. With data on consumption and asset prices, an information-theoretic method is used to recover an information kernel (I-SDF). The I-SDF prices asset returns much better than tightly parametrized structural models, thereby offering a reliable candidate for the measurement of the welfare cost of business cycles. Our method enables the estimation of both the unconditional (or, average) cost of fluctuations, as well as the cost conditional on the state of the economy. We find that the cost of fluctuations is strongly time varying and countercyclical and that the cost of business cycle fluctuations is substantial, accounting for a quarter to a third of the cost of all consumption uncertainty. This paper was accepted by Lukas Schmid, finance. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2023.00484 .
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