A New Database of Global Economic Indicators

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2014-01-01 DOI:10.3233/JEM-140391
Valerie Grossman, Adrienne Mack, Enrique Martínez-García
{"title":"A New Database of Global Economic Indicators","authors":"Valerie Grossman, Adrienne Mack, Enrique Martínez-García","doi":"10.3233/JEM-140391","DOIUrl":null,"url":null,"abstract":"The Database of Global Economic Indicators (DGEI) from the Federal Reserve Bank of Dallas aims to standardize and disseminate economic indicators for policy analysis and scholarly work on the role of globalization. Its main purpose is to offer a broad perspective on a number of global factors affecting the U.S. economy. DGEI indicators are based on a core sample of 40 countries with aggregates for the rest of the world (ex. the U.S.) and by level of development attainment and openness to trade. DGEI indicators currently include real GDP, industrial production (IP), Purchasing Managers Index (PMI), merchandise exports and imports, headline CPI, core CPI (ex. food and energy), PPI/WPI inflation, nominal and real exchange rates, and short-term interest rates. Here we describe our methodology to transform and combine different time series, for temporal and cross-country aggregation, and to highlight the importance of using representative data in international macroeconomics research. Our paper makes a related contribution to the literature by providing a formal assessment of conventional interpolation methods used to adjust the data frequency. A selection of the DGEI-derived global indicators – to be updated monthly – can be accessed at the following URL: http://www.dallasfed.org/institute/dgei/index.cfm.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"39 1","pages":"163-197"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-140391","citationCount":"32","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic and Social Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JEM-140391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 32

Abstract

The Database of Global Economic Indicators (DGEI) from the Federal Reserve Bank of Dallas aims to standardize and disseminate economic indicators for policy analysis and scholarly work on the role of globalization. Its main purpose is to offer a broad perspective on a number of global factors affecting the U.S. economy. DGEI indicators are based on a core sample of 40 countries with aggregates for the rest of the world (ex. the U.S.) and by level of development attainment and openness to trade. DGEI indicators currently include real GDP, industrial production (IP), Purchasing Managers Index (PMI), merchandise exports and imports, headline CPI, core CPI (ex. food and energy), PPI/WPI inflation, nominal and real exchange rates, and short-term interest rates. Here we describe our methodology to transform and combine different time series, for temporal and cross-country aggregation, and to highlight the importance of using representative data in international macroeconomics research. Our paper makes a related contribution to the literature by providing a formal assessment of conventional interpolation methods used to adjust the data frequency. A selection of the DGEI-derived global indicators – to be updated monthly – can be accessed at the following URL: http://www.dallasfed.org/institute/dgei/index.cfm.
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
一个新的全球经济指标数据库
达拉斯联邦储备银行的全球经济指标数据库(DGEI)旨在标准化和传播经济指标,用于政策分析和关于全球化作用的学术工作。它的主要目的是对影响美国经济的一些全球因素提供一个广阔的视角。gei指标是基于40个国家的核心样本,以及世界其他地区(美国除外)的总和,并根据发展水平和贸易开放程度制定的。目前,DGEI指标包括实际GDP、工业生产(IP)、采购经理人指数(PMI)、商品进出口、总体CPI、核心CPI(除食品和能源外)、PPI/WPI通胀、名义和实际汇率以及短期利率。在这里,我们描述了我们转换和组合不同时间序列的方法,用于时间和跨国汇总,并强调了在国际宏观经济学研究中使用代表性数据的重要性。我们的论文通过提供用于调整数据频率的传统插值方法的正式评估,对文献做出了相关贡献。可通过以下网址访问gegi衍生的一系列全球指标(每月更新):http://www.dallasfed.org/institute/dgei/index.cfm。
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
Journal of Economic and Social Measurement
Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)
CiteScore
1.60
自引率
0.00%
发文量
4
期刊介绍: The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.
期刊最新文献
Measuring the US employment situation using online panels: The Yale Labor Survey Revisiting taste change in cost-of-living measurement Assessing the potential for nonresponse bias and measurement concordance in the clinical preventive services self-administered questionnaire survey1 An improved definition of official excess winter mortality statistics as the basis for detailed analysis and monitoring Extending Current Population Survey Linkages: Obstacles and Solutions for Linking Monthly Data from 1976 to 1988.
×
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:481959085
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