RR: Building a Robust Foundation for Measuring Material Wealth in Low- and Middle-Income Settings

RR：为衡量中低收入环境中的物质财富奠定坚实的基础

• 批准号: 1658766
• 负责人: Daniel Hruschka
• 金额: $ 21.46万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1658766&HistoricalAwards=false
• 关键词: RR; Building; Robust; Foundation; Measuring

A household's economic status is one of the strongest and most consistent predictors of a range of policy-relevant outcomes - including child growth, adult nutritional status, fertility, and cognitive function and development. In high-income settings, household income is frequently used to measure economic status. However, in low-income settings, researchers usually must rely on alternative measures based on what a household owns and what basic services it has access to. Every year, hundreds of studies by social scientists and policymakers use these asset-based measures of wealth to examine how household economic status shapes human development and to evaluate poverty alleviation efforts and economic growth. However, current asset-based measures rely on untested assumptions about how households can reach economic prosperity and whether there are multiple pathways to economic advancement in different contexts. The current project will determine the validity and robustness of different asset-based methods for estimating household wealth using samples representing over 80% of the world's current population. This will provide a robust foundation for the measurement of household wealth in applied social science and public policy fields, including economic development and population health, which frequently rely on asset-based measures for identifying disparities and at-risk populations.The proposed project takes a two-pronged approach to assess which measures of household wealth best capture policy-relevant benchmarks of achievement. Such benchmarks will include physical growth, educational attainment, and personal and community assessments of satisfaction and relative economic standing. At a macro-level, the project expands on an ongoing 6-year project compiling and analyzing household wealth measures in over 120 low- and middle-income countries. At a micro-level, the project focuses on several communities that vary in terms of livelihood - farming, fishing, livestock, and rural/urban wage labor - and cultural background. The findings and data tools from the project will build a foundation for future researchers to assess economic resources that are both locally meaningful and broadly comparable and that can improve our understanding of the linkages of material wealth with human outcomes across a range of communities.

家庭的经济状况是一系列政策相关结果的最强和最一致的预测因素之一，包括儿童生长，成人营养状况，生育率以及认知功能和发展。 在高收入环境中，家庭收入经常被用来衡量经济地位。然而，在低收入环境中，研究人员通常必须依靠基于家庭拥有的东西和可以获得的基本服务的替代措施。 每年，社会科学家和政策制定者进行的数百项研究都使用这些基于资产的财富衡量标准来研究家庭经济状况如何影响人类发展，并评估扶贫工作和经济增长。 然而，目前基于资产的衡量方法依赖于未经检验的假设，即家庭如何实现经济繁荣，以及在不同情况下是否有多种经济发展途径。 目前的项目将确定不同的基于资产的方法的有效性和鲁棒性，用于使用代表目前世界人口80%以上的样本估计家庭财富。 这将为应用社会科学和公共政策领域（包括经济发展和人口健康）的家庭财富计量提供坚实的基础，这些领域经常依赖基于资产的计量来确定差距和高危人群，拟议项目采取双管齐下的办法，评估哪些家庭财富计量最能反映与政策相关的绩效基准。 这些基准将包括身体发育、教育程度以及个人和社区对满意度和相对经济地位的评估。在宏观层面上，该项目扩展了一个正在进行的6年项目，该项目汇编和分析了120多个中低收入国家的家庭财富衡量标准。 在微观一级，该项目侧重于生计-农业、渔业、畜牧业和农村/城市雇佣劳动-和文化背景各不相同的几个社区。 该项目的研究结果和数据工具将为未来的研究人员评估经济资源奠定基础，这些资源既具有地方意义，又具有广泛可比性，可以提高我们对物质财富与各种社区人类成果之间联系的理解。

项目成果

An Agricultural Wealth Index for Multidimensional Wealth Assessments

• DOI: 10.1111/padr.12367
• 发表时间: 2020-10-30
• 期刊: POPULATION AND DEVELOPMENT REVIEW
• 影响因子: 2.5
• 作者: Hackman, Joseph;Hruschka, Daniel;Vizireanu, Mariya
• 通讯作者: Vizireanu, Mariya

Different forms of household wealth are associated with opposing risks for HIV infection in East Africa

• DOI: 10.1016/j.worlddev.2018.09.015
• 发表时间: 2019-01-01
• 期刊: WORLD DEVELOPMENT
• 影响因子: 6.9
• 作者: Hadley, Craig;Maxfield, Amanda;Hruschka, Daniel
• 通讯作者: Hruschka, Daniel

Worldwide fertility declines do not rely on stopping at ideal parities

全球生育率下降并不依赖于理想生育率的下降

• DOI: 10.1080/00324728.2018.1513164
• 发表时间: 2018
• 期刊: Population Studies
• 作者: Hruschka, Daniel J.;Sear, Rebecca;Hackman, Joseph;Drake, Alexandria
• 通讯作者: Drake, Alexandria

Evaluating the Performance of Five Asset-based Wealth Indices in Predicting Socioeconomic Position in Rural Bangladesh

评估五种基于资产的财富指数在预测孟加拉国农村社会经济地位方面的表现

• DOI: 10.1177/1525822x211020650
• 发表时间: 2022
• 期刊: Field Methods
• 影响因子: 1.7
• 作者: Woolard, Katherine;Munira, Shirajum;Jesmin, Khaleda;Hruschka, Daniel
• 通讯作者: Hruschka, Daniel