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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w26116 |
来源ID | Working Paper 26116 |
Re-engineering Key National Economic Indicators | |
Gabriel Ehrlich; John Haltiwanger; Ron Jarmin; David Johnson; Matthew D. Shapiro | |
发表日期 | 2019-07-29 |
出版年 | 2019 |
语种 | 英语 |
摘要 | Traditional methods of collecting data from businesses and households face increasing challenges. These include declining response rates to surveys, increasing costs to traditional modes of data collection, and the difficulty of keeping pace with rapid changes in the economy. The digitization of virtually all market transactions offers the potential for re-engineering key national economic indicators. The challenge for the statistical system is how to operate in this data-rich environment. This paper focuses on the opportunities for collecting item-level data at the source and constructing key indicators using measurement methods consistent with such a data infrastructure. Ubiquitous digitization of transactions allows price and quantity be collected or aggregated simultaneously at the source. This new architecture for economic statistics creates challenges arising from the rapid change in items sold. The paper explores some recently proposed techniques for estimating price and quantity indices in large-scale item-level data. Although those methods display tremendous promise, substantially more research is necessary before they will be ready to serve as the basis for the official economic statistics. Finally, the paper addresses implications for building national statistics from transactions for data collection and for the capabilities and organization of the statistical agencies in the 21st century. |
主题 | Econometrics ; Data Collection ; Macroeconomics ; Business Cycles |
URL | https://www.nber.org/papers/w26116 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/583788 |
推荐引用方式 GB/T 7714 | Gabriel Ehrlich,John Haltiwanger,Ron Jarmin,et al. Re-engineering Key National Economic Indicators. 2019. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w26116.pdf(521KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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