2023
DOI: 10.1177/00031224231180607
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Understanding Patterns and Trends in Income Mobility through Multiverse Analysis

Abstract: Rising inequalities in rich countries have led to concerns that the economic ladder is getting harder to climb. Yet, research on trends in intergenerational income mobility finds conflicting results. To better understand this variation, we adopt a multiverse approach that estimates trends over 82,944 different definitions of income mobility, varying how and for whom income is measured. Our analysis draws on comprehensive register data for Swedish cohorts born 1958 to 1977 and their parents. We find that income… Show more

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Cited by 11 publications
(7 citation statements)
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“…Recently, when studying intergenerational mobility, researchers often rank parents' and children's incomes within the child birth cohort. Compared with other mobility measures, rank-rank slope is less sensitive to measurement error, the treatment of zero income, life-cycle bias, and changes in income inequality between generations (Chetty et al 2014;Engzell and Mood 2023). It is hence more consistent with the traditional sociological approach to examining relative mobility (Erikson and Goldthorpe 1992).…”
Section: Analytic Strategymentioning
confidence: 80%
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“…Recently, when studying intergenerational mobility, researchers often rank parents' and children's incomes within the child birth cohort. Compared with other mobility measures, rank-rank slope is less sensitive to measurement error, the treatment of zero income, life-cycle bias, and changes in income inequality between generations (Chetty et al 2014;Engzell and Mood 2023). It is hence more consistent with the traditional sociological approach to examining relative mobility (Erikson and Goldthorpe 1992).…”
Section: Analytic Strategymentioning
confidence: 80%
“…6. Engzell and Mood (2023) show that even when using rank correlations, measuring child earnings at younger ages significantly underestimates both levels and trends.…”
Section: Notesmentioning
confidence: 92%
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“…In addition to the standard application of multiverse analysis to assess the robustness of results across various analytical decisions through e.g. specification curve analysis (Simonsohn, Simmons, and Nelson, 2020), we also aim to explore new perspectives which understand multiverse analysis as an exploratory tool to identify key covariates that significantly impact study outcomes (Bowring, Nichols, and Maumet, 2022) and as a framework for abduction and inferential decisions (Engzell and Mood, 2023). This can help in excluding ineffective methods in new dataset analyses and provide insights into conditions for expected effects.…”
Section: Future Directionsmentioning
confidence: 99%
“…Changes in household composition, such as marriage, childbirth, or divorce, significantly influence income, impacting resource division and dependent numbers (Burgess and Propper 1998). Age and gender also play pivotal roles, with female-headed households and younger workers experiencing distinct income mobility patterns (Aristei and Perugini 2015;Engzell and Mood 2023). Additionally, variables such as household size and presence of elderly members influence income growth (Devicienti et al 2014;Jin and Xie 2017).…”
Section: Household Level Factors Affecting Household Incomementioning
confidence: 99%