Unveiling consumption patterns during COVID-19: Insights from credit cards

IF 4.7 2区 经济学 Q1 ECONOMICS Economic Modelling Pub Date : 2025-06-01 Epub Date: 2025-03-12 DOI:10.1016/j.econmod.2025.107071
Simone Emiliozzi , Concetta Rondinelli , Stefania Villa
{"title":"Unveiling consumption patterns during COVID-19: Insights from credit cards","authors":"Simone Emiliozzi ,&nbsp;Concetta Rondinelli ,&nbsp;Stefania Villa","doi":"10.1016/j.econmod.2025.107071","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the impact of the first wave of the COVID-19 pandemic on Italian consumer spending. Using a novel high-frequency dataset of credit card transactions and an event study approach, we analyze changes in spending behavior across expenditure categories and regions. We find that total transactions dropped by more than 50% during the national lockdown, with steeper declines in high-contact sectors and earlier contractions in Northern regions due to tighter initial restrictions. These results demonstrate the ability of high-frequency data to detect rapid shifts in consumer behavior and the importance of timely policy interventions in response to extreme events.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"147 ","pages":"Article 107071"},"PeriodicalIF":4.7000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325000665","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This study examines the impact of the first wave of the COVID-19 pandemic on Italian consumer spending. Using a novel high-frequency dataset of credit card transactions and an event study approach, we analyze changes in spending behavior across expenditure categories and regions. We find that total transactions dropped by more than 50% during the national lockdown, with steeper declines in high-contact sectors and earlier contractions in Northern regions due to tighter initial restrictions. These results demonstrate the ability of high-frequency data to detect rapid shifts in consumer behavior and the importance of timely policy interventions in response to extreme events.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
揭示COVID-19期间的消费模式:来自信用卡的洞察
本研究探讨了第一波COVID-19大流行对意大利消费者支出的影响。使用新颖的高频信用卡交易数据集和事件研究方法,我们分析了不同支出类别和地区的消费行为变化。我们发现,在全国封锁期间,总交易量下降了50%以上,高接触行业的下降幅度更大,由于最初的限制更严格,北部地区更早出现萎缩。这些结果证明了高频数据检测消费者行为快速变化的能力,以及在应对极端事件时及时采取政策干预的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Economic Modelling
Economic Modelling ECONOMICS-
CiteScore
8.00
自引率
10.60%
发文量
295
期刊介绍: Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.
期刊最新文献
Impacts of energy transition on economic dynamics and environmental benefits under distributive justice: A stock–flow consistent approach Why are loan rates sticky: A perspective from bank–firm relationship Penalizing Brown industries or stimulating green innovation? A model incorporating endogenous green innovation Green bond performance under ESG uncertainty: Nonlinear Time–Frequency quantile analysis Measuring corruption from household income and consumption micro-data: An international perspective
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1