在美国时间使用调查中测量通勤

Q3 Social Sciences Journal of Economic and Social Measurement Pub Date : 2019-05-05 DOI:10.3233/JEM-180459
Gray Kimbrough
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引用次数: 6

摘要

工作和家庭之间的旅程在日常时间使用中起着重要作用,既是劳动力参与的固定时间成本,也是对其他活动时间的限制。来自美国时间使用调查(ATUS)的数据为研究通勤行为及其与人口统计学、劳动力市场特征和花在其他活动上的时间的关系提供了机会。以前的分析由于难以从ATUS获得通勤时间指标而变得复杂。在ATUS中,旅行信息很难解释,许多通勤旅行可能被错误地分类为与工作相关的旅行。为了解决这个缺点,我回顾了以前的研究人员重新分类旅行的策略。在调查了可能的方法之后,我着重于将应用于国家家庭交通调查(NHTS)的方法应用于ATUS。NHTS中的详细时间信息使我能够比较两次调查中的总通勤措施和通勤时间。我进一步扩展了分析,将其与另一个常用数据集——美国社区调查(American Community Survey)中的通勤信息进行比较。这些比较和提供的方法有助于利用该数据集的优势,使用ATUS进一步分析通勤行为,并对其进行验证。
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Measuring commuting in the American Time Use Survey
The journey between work and home plays an important role in daily time use, acting as both a fixed time cost of labor force participation and as a constraint on time for other activities. Data from the American Time Use Survey (ATUS) offer the opportunity to examine commuting behavior and its relationship to demographics, labor market characteristics, and the amount of time spent on other activities. Previous analyses have been complicated by the difficulties of obtaining commuting time measures from the ATUS. Travel information can be difficult to interpret in the ATUS, and many commuting trips are likely misclassified using stock measures of work-related travel. To address this shortcoming, I review the strategies of previous researchers to reclassify travel. After surveying possible methodologies, I focus on applying to the ATUS a methodology applied to the National Household Transportation Survey (NHTS). Detailed time information in the NHTS allows me to compare both aggregate commuting measures and the timing of commuting in the two surveys. I further extend the analysis to compare to journey-to-work information in another commonly used dataset, the American Community Survey. These comparisons and the methodology provided serve to enable and validate further analysis of commuting behavior using the ATUS, leveraging the advantages of this dataset.
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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.
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