1998年至2010年收入动态小组研究中使用补充贫困指标衡量贫困

Q3 Social Sciences

Journal of Economic and Social Measurement Pub Date : 2016-01-01 DOI:10.3233/JEM-160425

Sara E. Kimberlin, H. L. Shaefer, Jiyoon Kim

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引用次数: 5

摘要

美国人口普查局最近推出了补充贫困衡量标准(SPM)，作为一种替代贫困衡量标准，它解决了官方贫困衡量标准(OPM)的许多缺陷，更好地反映了家庭满足基本需求的可用资源。人口普查SPM仅在当前人口调查(CPS)中可用。本文描述了一种在收入动态面板研究(PSID)中构建SPM贫困估计的方法，该方法适用于1998年至2010年的两年期。在此分析中产生的个人层面SPM状态的公共使用数据集将可在PSID网站上下载。PSID提供了1998年、2000年、2002年、2004年、2006年、2008年和2010年的年度SPM贫困估计，并与人口普查局和独立研究人员根据CPS数据得出的同年SPM估计进行了比较。我们发现PSID的SPM贫困率略低于CPS的贫困率，尽管两个数据集的特定SPM成分的趋势和影响相似。

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Measuring poverty using the Supplemental Poverty Measure in the Panel Study of Income Dynamics, 1998 to 2010

The Supplemental Poverty Measure (SPM) was recently introduced by the U.S. Census Bureau as an alternative measure of poverty that addresses many shortcomings of the official poverty measure (OPM) to better reflect the resources households have available to meet their basic needs. The Census SPM is available only in the Current Population Survey (CPS). This paper describes a method for constructing SPM poverty estimates in the Panel Study of Income Dynamics (PSID), for the biennial years 1998 through 2010. A public-use dataset of individual-level SPM status produced in this analysis will be available for download on the PSID website. Annual SPM poverty estimates from the PSID are presented for the years 1998, 2000, 2002, 2004, 2006, 2008, and 2010 and compared to SPM estimates for the same years derived from CPS data by the Census Bureau and independent researchers. We find that SPM poverty rates in the PSID are somewhat lower than those found in the CPS, though trends over time and impact of specific SPM components are similar across the two datasets.

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来源期刊

Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)

CiteScore

1.60

自引率

0.00%

发文量

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.