A comparison of data sources for hired farm labour research: the NAWS and the CPS.

Author:

Larson J. M.,Findeis J. L.,Swaminathan H.,Wang Q. Y.

Abstract

Abstract

This chapter compares two national data sets commonly used in the USA for empirical research on farm workers: the Current Population Survey (CPS); and the National Agricultural Workers Survey (NAWS). As the major national survey of employment in the USA, the CPS covers farm workers as well as employees in other industries in the USA. These data are compared with the NAWS, a major survey of crop workers employed on US farms. The samples for the CPS and NAWS are shown to be very different, even if crop workers (only) from the CPS Annual Earnings File are compared with the NAWS data. Unlike the CPS sample, the NAWS sample includes the (large and significant) segment of the farm worker population that shows a marked degree of mobility and is very likely to be unauthorized. Farm workers in the NAWS are more likely to be Hispanic, have very low levels of education and are younger than in the CPS. The NAWS also specifically shows that, compared with the past, US farm workers are more likely to be solo males working on farms in the USA but spending at least part of the year 'at home' in Mexico. They are also not likely to access public support systems in the USA, despite their low incomes. Finally, their earnings and incomes are difficult to compare with those of other low-income workers in the USA because only US earnings are included in the NAWS data. Inter-industry comparisons with the CPS are possible but, again, a portion of the farm worker population is missed.

Publisher

CABI

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3