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  • His and Her Earnings Following Parenthood in the United States, Germany, and the United Kingdom

    This article advances a couple-level framework to examine how parenthood shapes within-family gender inequality by education in three countries that vary in their normative and policy context: the United States, Germany, and the United Kingdom. We trace mothers’ share of couple earnings and variation by her education in the 10-year window around first birth, using long-running harmonized panel surveys ...

    In: American Sociological Review 85 (2020), 4, 639-674 | Kelly Musick, Megan Doherty Bea, Pilar Gonalons-Pons
  • Determinants of Frequent Attendance of Outpatient Physicians: A Longitudinal Analysis Using the German Socio-Economic Panel (GSOEP)

    There is a lack of population-based longitudinal studies which investigates the factors leading to frequent attendance of outpatient physicians. Thus, the purpose of this study was to analyze the determinants of frequent attendance using a longitudinal approach. The used dataset comprises seven waves (2002 to 2014; n = 28,574 observations; ranging from 17 to 102 years) from the nationally representative ...

    In: International Journal of Environmental Research and Public Health 16 (2019), 9, 1553 | Moritz Hadwiger, Hans-Helmut König, André Hajek
  • Not Getting What You Want? The Impact of Income Comparisons on Subjective Well-Being—Findings of a Population-Based Longitudinal Study in Germany

    Previous studies have mainly focused on interindividual income comparisons (e.g., comparisons with colleagues or neighbors), whereas intraindividual income comparisons (i.e., difference between factual income and expectations) have rarely been investigated in well-being research. Thus, the aim of this study was to investigate the role of intraindividual income comparisons on subjective well-being (negative/positive ...

    In: International Journal of Environmental Research and Public Health 16 (2019), 15, 2655 | André Hajek, Hans-Helmut König
  • Multiple imputation of binary multilevel missing not at random data

    Summary We introduce a selection model-based multilevel imputation approach to be used within the fully conditional specification framework for multiple imputation. Concretely, we apply a censored bivariate probit model to describe binary variables assumed to be missing not at random. The first equation of the model defines the regression model for the missing data mechanism. The second equation specifies ...

    In: Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 (2020), 3, 547-564 | Angelina Hammon, Sabine Zinn
  • Assessing the spatial scale of context effects: The example of neighbourhoods’ educational composition and its relevance for individual aspirations

    The neighbourhood environment has repeatedly proven to be a relevant context for central aspects of individuals’ lives, such as educational attainment. The conventional approach of measuring neighbourhood characteristics within disjunct geographical units fixed at a particular scale is less suitable for representing the characteristics of individual action spaces in everyday activities and for detecting ...

    In: Social Science Research 83 (2019), 102308 | Andreas Hartung, Steffen Hillmert
  • The impact of technological change on survey nonresponse and measurement

    This dissertation addresses the imbalance between technological advancements and human adaptation to technology in the context of survey research by raising the question of whether survey research is behind or too far ahead of their respondents. Hence, the four papers that constitute this dissertation deal with respondents' ability to use technology and how respondents' technological abilities ...

    2018, | Jessica M. E. Herzing
  • Household decision making on commuting and the commuting paradox

    This paper explores the commuting paradox in the context of two-partner households by estimating the relationship between the subjective well-being of spouses and their commuting distances. Some of the former literature has found evidence that individuals are not fully compensated for changes in commuting (the commuting paradox). We study unitary, cooperative, and non-cooperative decision-making models ...

    In: Empirica 46 (2019), 1, 63-101 | Georg Hirte, Ulrike Illmann
  • Pathways between Socioeconomic Status and Health: Does Health Selection or Social Causation Dominate in Europe?

    Health differences which correspond to socioeconomic status (SES) can be attributed to three causal mechanisms: SES affects health (social causation), health affects SES (health selection), and common background factors influence both SES and health (indirect selection). Using retrospective survey data from 10 European countries (SHARELIFE, n = 20,227) and structural equation models in a cross-lagged ...

    In: Advances in Life Course Research 36 (2018), 23-36 | Rasmus Hoffmann, Hannes Kröger, Eduwin Pakpahan
  • The Reciprocal Relationship between Material Factors and Health in the Life Course: Evidence from SHARE and ELSA

    The widely established health differences between people with greater economic resources and those with fewer resources can be attributed to both social causation (material factors affecting health) and health selection (health affecting material wealth). Each of these pathways may have different intensities at different ages, because the sensitivity of health to a lack of material wealth and the degree ...

    In: European Journal of Ageing 15 (2018), 4, 379-391 | Rasmus Hoffmann, Hannes Kröger, Eduwin Pakpahan
  • Dimensions of Social Stratification and Their Relation to Mortality: A Comparison Across Gender and Life Course Periods in Finland

    Differences in mortality between groups with different socioeconomic positions (SEP) are well-established, but the relative contribution of different SEP measures is unclear. This study compares the correlation between three SEP dimensions and mortality, and investigates differences between gender and age groups (35–59 vs. 60–84). We use an 11% random sample with an 80% oversample of deaths from the ...

    In: Social Indicators Research 145 (2019), 1, 349-365 | Rasmus Hoffmann, Hannes Kröger, Lasse Tarkiainen, Pekka Martikainen
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