工作,工作,工作:分析师该怎么做?

IF 2.4 4区 经济学 Q2 INDUSTRIAL RELATIONS & LABOR Monthly Labor Review Pub Date : 2022-12-20 DOI:10.21916/mlr.2022.31
Gavin C. Pickenpaugh, Justin M. Adder
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引用次数: 0

摘要

分析师和经济学家经常面临使用就业指标来描述感兴趣行业的任务。一些关键挑战可能是了解在哪里可以找到就业指标,各种就业指标的差异,以及何时应该使用每个指标。本文分析了美国各种公开的就业数据,并对这些数据进行了比较。对每个数据源的复杂性进行了详细描述,其中包括区域性、行业突破、周期性和所包括的工作类型等因素。本文提供了几个案例研究示例,利用石油和天然气开采、煤矿开采和化学制造业来描述数据用户在制定适合其需求的就业估计时可能面临的挑战。数据用户应了解各种数据源,以了解存在数据限制时的替代分析选项,并确定哪种数据源最能满足他们的需求。可能会出现来自一个数据集的信息可用于帮助估算缺失值的情况。
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Jobs, jobs, jobs: what’s an analyst to do?
Analysts and economists often face the task of using employment metrics to characterize industries of interest. Some key challenges can be understanding where to find employment metrics, the differences in various employment metrics, and when each metric should be used. This article analyzes a variety of publicly available employment data for the United States and compares these data. A detailed description of the intricacies of each data source is provided, which covers factors such as regionality, industry breakout, periodicity, and the types of jobs included. This article provides several case study examples, using the oil and gas extraction, coal mining, and chemical manufacturing sectors to portray challenges data users may face when developing employment estimates that suit their needs. Data users should be aware of a variety of data sources to understand alternative analysis options when data limitations are present and to determine which data source best meets their needs. Instances may occur in which information from one dataset may be used to help impute missing values.
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来源期刊
Monthly Labor Review
Monthly Labor Review INDUSTRIAL RELATIONS & LABOR-
自引率
7.70%
发文量
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