Beyond the “Haves and Have Nots”: Using an Interdisciplinary Approach to Inform Federal Data Collection Efforts with Indigenous Populations

Pub Date : 2017-10-11 DOI:10.18584/IIPJ.2017.8.4.5
C. A. Lee
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引用次数: 3

Abstract

This study demonstrates how multiple methods can inform national survey data collection efforts for Indigenous populations using Pacific Islanders as a case study. National data surveys are oftentimes limited in how they collect data on small populations due to data suppression, and they lack nuance in how they aggregate distinct populations. I conduct linear regression models of U.S. Census data to demonstrate that Pacific Islanders lag behind Whites in income, even after controlling for household characteristics and geography. Further analyses of oral histories and interviews with Pacific Islanders demonstrate that income disparities exist in part because of remittances, competing financial demands, and citizenship status. I argue that it is important to add survey questions that capture migrant experiences to improve national data survey collection efforts. By utilizing and improving both types of data collection, researchers can better comprehend the barriers and opportunities for decreasing the racial income and wealth gap, which will strengthen the economic stability of Pacific Islanders in the United States.
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超越“富人和穷人”:使用跨学科的方法来告知与土著人口的联邦数据收集工作
本研究以太平洋岛民为例,展示了多种方法如何为土著人口的全国调查数据收集工作提供信息。由于数据压制,国家数据调查在收集小群体数据的方式上往往受到限制,而且在汇总不同群体的方式上缺乏细微差别。我对美国人口普查数据进行了线性回归模型,以证明太平洋岛民在收入方面落后于白人,即使在控制了家庭特征和地理因素后也是如此。对口述历史的进一步分析和对太平洋岛民的访谈表明,存在收入差距的部分原因是汇款、相互竞争的金融需求和公民身份。我认为,重要的是增加能够捕捉移民经历的调查问题,以改善国家数据调查收集工作。通过利用和改进这两种类型的数据收集,研究人员可以更好地了解减少种族收入和财富差距的障碍和机会,这将加强美国太平洋岛民的经济稳定。
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