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In this paper we provide a framework to measure an individual's multidimensional well‐being and discuss two approaches to measuring inequality in multidimensional well‐being. The framework is used to study inequality in multidimensional well‐being in the United States in the last decade. Using data from the Current Population Survey on three well‐being indicators, namely, income, health, and education, we first compute a multidimensional well‐being index for every individual in the sample and then study inequality of well‐being thus obtained. We find that inequality in well‐being increased between 2010 and 2014 and decreased between 2014 and 2019. We test the sensitivity of our results by using alternative measures of inequality and attaching alternative weights to well‐being indicators. [ABSTRACT FROM AUTHOR]

Parent-led, home-based education, or homeschooling, has grown rapidly over recent decades with participation rates increasing more than 100-fold to now nearly one in 25 students nationwide in the United States. However, the research base has not grown correspondingly, and homeschoolers remain understudied. We systematically surveyed a population of homeschooling families (N = 881 responses) who had reported homeschooling a high-ability student to learn more about their characteristics and perceptions. Specifically, we report a mixed-methods analysis of the survey responses addressing whether and why these parents would or would not consider returning their child to a traditional school setting. Respondents were predominantly mothers who reported a high level of formal education and who were primarily responsible for implementing homeschooling with their child. Qualitative thematic analysis of open-ended responses yielded five main themes: preference, academics, concerns about future educational opportunities, satisfaction, and well-being. Findings both support and extend prior research with this population. [ABSTRACT FROM AUTHOR]

Wealth inequality has been sharply rising in the United States and across many other high-income countries. Due to a lack of data, we know little about how this trend has unfolded across locations within countries. Examining the subnational geography of wealth is crucial because, from one generation to the next, it shapes the distribution of opportunity, disadvantage, and power across individuals and communities. By employing machine-learning-based imputation to link national historical surveys conducted by the U.S. Federal Reserve to population survey microdata, the data presented in this article addresses this gap. The Geographic Wealth Inequality Database ("GEOWEALTH-US") provides the first estimates of the level and distribution of wealth at various geographical scales within the United States from 1960 to 2020. The GEOWEALTH-US database enables new lines of investigation into the contribution of spatial wealth disparities to major societal challenges including wealth concentration, income inequality, social mobility, housing unaffordability, and political polarization. [ABSTRACT FROM AUTHOR]