利用月度活动指标预测 COVID-19 危机期间的季度 GDP 增长情况

Luke Hartigan, Tom Rosewall
{"title":"利用月度活动指标预测 COVID-19 危机期间的季度 GDP 增长情况","authors":"Luke Hartigan, Tom Rosewall","doi":"10.47688/rdp2024-04","DOIUrl":null,"url":null,"abstract":"What is happening now? The onset of the COVID-19 crisis highlighted the importance of having timely data on the economy to help policymakers make more informed decisions. However, the most comprehensive measure of activity, GDP, is published with a long lag, thereby limiting its value to policymakers as a measure of the current state of the economy. To overcome this information deficiency, we develop a monthly activity indicator (MAI) for Australia. The MAI aims to provide policymakers with a more immediate snapshot of prevailing economic conditions. We achieve this by using a dynamic factor model to summarise the information content from a curated list of 30 monthly predictors selected for their ability to explain movements in quarterly real GDP growth. We undertake a pseudo out-of-sample nowcasting exercise using the MAI in an unrestricted MIDAS model and find that nowcasts based on the MAI significantly outperform standard benchmarks. Crucially, outperformance is largest during the COVID-19 crisis, emphasising the benefit from considering monthly data. Our results demonstrate that the MAI is a useful tool for policymakers to gain a better understanding of current economic conditions in Australia.","PeriodicalId":507325,"journal":{"name":"RBA Research Discussion Papers","volume":"32 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator\",\"authors\":\"Luke Hartigan, Tom Rosewall\",\"doi\":\"10.47688/rdp2024-04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"What is happening now? The onset of the COVID-19 crisis highlighted the importance of having timely data on the economy to help policymakers make more informed decisions. However, the most comprehensive measure of activity, GDP, is published with a long lag, thereby limiting its value to policymakers as a measure of the current state of the economy. To overcome this information deficiency, we develop a monthly activity indicator (MAI) for Australia. The MAI aims to provide policymakers with a more immediate snapshot of prevailing economic conditions. We achieve this by using a dynamic factor model to summarise the information content from a curated list of 30 monthly predictors selected for their ability to explain movements in quarterly real GDP growth. We undertake a pseudo out-of-sample nowcasting exercise using the MAI in an unrestricted MIDAS model and find that nowcasts based on the MAI significantly outperform standard benchmarks. Crucially, outperformance is largest during the COVID-19 crisis, emphasising the benefit from considering monthly data. Our results demonstrate that the MAI is a useful tool for policymakers to gain a better understanding of current economic conditions in Australia.\",\"PeriodicalId\":507325,\"journal\":{\"name\":\"RBA Research Discussion Papers\",\"volume\":\"32 8\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RBA Research Discussion Papers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47688/rdp2024-04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RBA Research Discussion Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47688/rdp2024-04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

现在发生了什么?COVID-19 危机的爆发凸显了及时掌握经济数据以帮助决策者做出更明智决策的重要性。然而,最全面的经济活动衡量指标--国内生产总值(GDP)--的公布有很长的滞后期,因此限制了其作为经济现状衡量指标对政策制定者的价值。为了克服这一信息缺陷,我们为澳大利亚开发了月度经济活动指标(MAI)。月度活动指标旨在为政策制定者提供更即时的经济状况快照。为了实现这一目标,我们使用了一个动态因素模型,从经过筛选的 30 个月度预测因子中总结出信息内容,这些预测因子是根据其解释季度实际 GDP 增长变动的能力而选出的。我们在不受限制的 MIDAS 模型中使用 MAI 进行了一次伪样本外即时预测,发现基于 MAI 的即时预测明显优于标准基准。最重要的是,在 COVID-19 危机期间的表现最为突出,强调了考虑月度数据的益处。我们的研究结果表明,MAI 是决策者更好地了解澳大利亚当前经济状况的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator
What is happening now? The onset of the COVID-19 crisis highlighted the importance of having timely data on the economy to help policymakers make more informed decisions. However, the most comprehensive measure of activity, GDP, is published with a long lag, thereby limiting its value to policymakers as a measure of the current state of the economy. To overcome this information deficiency, we develop a monthly activity indicator (MAI) for Australia. The MAI aims to provide policymakers with a more immediate snapshot of prevailing economic conditions. We achieve this by using a dynamic factor model to summarise the information content from a curated list of 30 monthly predictors selected for their ability to explain movements in quarterly real GDP growth. We undertake a pseudo out-of-sample nowcasting exercise using the MAI in an unrestricted MIDAS model and find that nowcasts based on the MAI significantly outperform standard benchmarks. Crucially, outperformance is largest during the COVID-19 crisis, emphasising the benefit from considering monthly data. Our results demonstrate that the MAI is a useful tool for policymakers to gain a better understanding of current economic conditions in Australia.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信