Journal: Review of Income and Wealth
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Abbreviation
Rev. Income Wealth
Publisher
Wiley-Blackwell
9 results
Search Results
Publications 1 - 9 of 9
- Poverty, vulnerability, and reference-dependent utilityItem type: Journal Article
Review of Income and WealthGünther, Isabel; Maier, Johannes K. (2014) - Stephan Klasen (1966‐2020): In MemoriamItem type: Other Journal Item
Review of Income and WealthGrimm, Michael; Günther, Isabel; Vollmer, Sebastian (2021) - Using Personal Car Register for Measuring Economic Inequality in Countries with a Large Share of Shadow EconomyItem type: Journal Article
Review of Income and WealthSiliverstovs, Boriss; Kholodilin, Konstantin A.; Dombrovsky, Vyacheslav (2014) - An African Growth Miracle?Item type: Journal Article
Review of Income and WealthHarttgen, Kenneth; Klasen, Stephan; Vollmer, Sebastian (2013) - Testing the Baumol-Nordhaus Model with EU KLEMS DataItem type: Journal Article
Review of Income and WealthHartwig, Jochen Kurt (2011) - Has Switzerland Really Been Marked by Low Productivity Growth? Hours Worked and Labor Productivity in Switzerland in a Long-run PerspectiveItem type: Journal Article
Review of Income and WealthSiegenthaler, Michael (2015) - Economic Recovery but Stagnating Mental Health During a Global Pandemic? Evidence from Ghana and South AfricaItem type: Journal Article
Review of Income and WealthDurizzo, Kathrin; Asiedu, Edward; Van der Merwe, Antoinette; et al. (2022)Ghana and South Africa proactively implemented lockdowns very early in the pandemic. We analyze a three-wave panel of households in Accra and Greater Johannesburg to study the mental and economic well-being of the urban poor between the COVID-19 lockdown and the "new normal" one year later. We find that even if economic well-being has mostly recovered, life satisfaction has only improved slightly and feelings of depression are again at lockdown levels one year into the pandemic. While economic factors are strongly correlated with mental health and explain the differences in mental health between South Africa and Ghana, increasing worries about the future and limited knowledge about the pandemic (both countries) as well as deteriorating physical health (South Africa) and trust in government (Ghana) explain why mental health has not recovered. Therefore, we need broad and country-specific policies, beyond financial support, to accelerate the post-pandemic recovery of the urban poor. - How Serious is the Neglect of Intra‐Household Inequality in Multidimensional Poverty and Inequality Analyses? Evidence from India.Item type: Journal Article
Review of Income and WealthKlasen, Stephan; Lahoti, Rahul (2021)Monetary poverty measures as well as most existing multidimensional poverty indices (MPI) assume equal distribution within the household and thus are likely to yield a biased assessment of individual poverty, and poverty by age or gender. We show that the direction of the bias of such household‐based assessments in measuring poverty or inequality among individuals depends on how these measures use individual data to determine the poverty status of households. We use data from the 2012 Indian Human Development Survey and compare a standard household‐based MPI to an individual‐level MPI. The poverty rate among women is 14 percent points higher than that of men in our individual MPI measure but almost the same when using the household‐based measure. 22 percent of males and 27 percent of females are misclassified as poor or non‐poor using the household‐based measure. We also show that intra‐household inequality is 30 percent of total inequality. - Intersectional Inequality in Education in Africa, Asia, and the AmericasItem type: Journal Article
Review of Income and WealthMeili, Dario; Harttgen, Kenneth; Günther, Isabel (2025)Intersectional inequality-the notion that disparities run along combinations of social groups such as gender or ethnicity-has become an increasingly prominent concept in social sciences. However, there is little empirical research using an intersectional framework to measure inequality. We propose two metrics of intersectional inequality based on the concept of horizontal inequality. Applying these measures, we analyze educational intersectionality in gender and ethnicity using data from 40 countries. We show that the intersectional perspective reveals particularly disadvantaged groups that remain masked if gender and ethnic inequality are analyzed separately. In several countries, the most disadvantaged intersectional group is of a different gender or ethnicity than the generally more disadvantaged gender or ethnicity. Moreover, in most countries intersectional inequality is greater than the sum of gender and ethnic inequality. In these countries, neither increasing education levels nor reducing gender and ethnic inequalities is sufficient to "leave no one behind."
Publications 1 - 9 of 9