An Assessment of the National Establishment Time Series (Nets) Database

Keith Barnatchez, Leland D. Crane, Ryan A. Decker
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引用次数: 77

Abstract

The National Establishment Time Series (NETS) is a private sector source of U.S. business microdata. Researchers have used state-specific NETS extracts for many years, but relatively little is known about the accuracy and representativeness of the nationwide NETS sample. We explore the properties of NETS as compared to official U.S. data on business activity: The Census Bureau's County Business Patterns (CBP) and Nonemployer Statistics (NES) and the Bureau of Labor Statistics' Quarterly Census of Employment and Wages (QCEW). We find that the NETS universe does not cover the entirety of the Census-based employer and nonemployer universes, but given certain restrictions NETS can be made to mimic official employer datasets with reasonable precision. The largest differences between NETS employer data and official sources are among small establishments, where imputation is prevalent in NETS. The most stringent of our proposed sample restrictions still allows scope that cover s about three quarters of U.S. private sector employment. We conclude that NETS microdata can be useful and convenient for studying static business activity in high detail.
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对国家编制时间序列数据库的评估
国家企业时间序列(NETS)是美国企业微观数据的私营部门来源。研究人员多年来一直使用特定州的NETS提取,但对全国NETS样本的准确性和代表性知之甚少。我们将NETS的属性与美国官方商业活动数据进行了比较:人口普查局的县商业模式(CBP)和非雇主统计(NES)以及劳工统计局的就业和工资季度普查(QCEW)。我们发现,NETS的范围并没有涵盖基于人口普查的雇主和非雇主的范围,但在一定的限制下,NETS可以以合理的精度模拟官方雇主数据集。net雇主数据与官方来源之间的最大差异是在小型机构中,在这些机构中,net普遍存在代入现象。我们提出的最严格的样本限制仍然允许覆盖大约四分之三的美国私营部门就业。我们认为,net微数据对于静态业务活动的详细研究是非常有用和方便的。
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