将职业就业数据从州降级到人口普查区一级

IF 4 2区 地球科学 Q1 GEOGRAPHY
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引用次数: 0

摘要

在新技术革命时代,由于缺乏更细粒度的地理层面的详细职业就业数据,预测和分析地方和区域就业变化面临巨大挑战。本研究旨在通过将州一级的就业信息降级到人口普查区一级来开发详细的职业就业数据。我们介绍了两种降尺度算法,它们利用了来自美国社区调查、当前人口调查以及职业就业和工资统计的就业、人口和社会人口组成数据。通过这种方法,我们创建了涵盖 808 种职业的区级就业数据集。这些数据对于研究预期的技术和人口变化对这一规模就业的影响至关重要,而这对于了解税基影响和就业流动机会也至关重要。我们通过考察两个职业的就业预测来证明这些数据集的价值,这两个职业预计在不久的将来会因技术进步而减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Downscaling occupational employment data from the state to the Census tract level

The lack of detailed occupational employment data at more granular geographic levels presents significant challenges in forecasting and analyzing local and regional employment changes in the era of the new technological revolution. This study aims to develop detailed occupational employment data by downscaling state-level employment information to the Census tract level. We introduce two downscaling algorithms that leverage employment, population, and sociodemographic composition data sourced from the American Community Survey, the Current Population Survey, and the Occupational Employment and Wage Statistics. This approach allows us to create a tract-level employment dataset covering 808 occupations. Such data are crucial for examining the effects of expected technological and demographic shifts on employment at this scale, which is critical for understanding tax base implications and job mobility opportunities. We demonstrate the value of these datasets by examining employment projections for two occupations anticipated to decline due to technological advancements in the near future.

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来源期刊
Applied Geography
Applied Geography GEOGRAPHY-
CiteScore
8.00
自引率
2.00%
发文量
134
期刊介绍: Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.
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