Publications Based on SOEP Data: SOEPlit

clear
0 filter(s) selected
close
Go to page
remove add
7040 results, from 511
  • Stability and change of optimism and pessimism in late midlife and old age across three independent studies

    Research across a number of different areas in psychology has long shown that optimism and pessimism are predictive of a number of important future life outcomes. Despite a vast literature on the correlates and consequences, we know very little about how optimism and pessimism change across adulthood and old age and the sociodemographic factors that are associated with individual differences in such ...

    In: Psychology and Aging 39 (2024), 1, 14-30 | Julia Tetzner, Johanna Drewelies, Sandra Duezel, Ilja Demuth, Gert G. Wagner, Margie Lachman, Ulman Lindenberger, Nilam Ram, Denis Gerstorf
  • When houses wear faces: Reverse correlation applied to architectural design

    Reverse correlation (RC) is a data-driven method from social psychology that has been effectively shown to visualize the mental representations that humans hold regarding facial attributes. The method helps to understand what features are relevant in terms of the evaluation of faces, such as dominance or submissiveness. To the best of our knowledge, RC has solely been applied to faces within the area ...

    In: Journal of Environmental Psychology 98 (2024), 102401 | Kira Pohlmann, Nour Tawil, Timothy R. Brick, Simone Kühn
  • Towards a psychology of solar energy: Analyzing the effects of the Big Five personality traits on household solar energy adoption in Germany

    This research paper investigated the effect of consumers’ Big Five personality traits on the adoption of residential photovoltaic systems in Germany. To account for different types or groups of households, a multigroup structural equation model with N = 9,281 individuals was analyzed using data from a nationwide, representative household panel. It could be shown that the ways in which personality traits ...

    In: Energy Research & Social Science 77 (2021), 102087 | Stefan Poier
  • Can Subjective Data Improve the Measurement of Inequality? A Multidimensional Index of Economic Inequality

    Measuring multidimensional inequality by means of a univariate index requires weighting the dimensions of inequality. This paper explores the normative and empirical problems involved in measuring inequality by estimating hedonic weights on the basis of German microdata. In contrast to previous works, the perception of inequality, derived from subjective social status, has been used to estimate a weighting ...

    In: Social Indicators Research 146 (2019), 3, 511-531 | Philipp Poppitz
  • Estimation of Linear models from Coarsened Observations: A Method of Moments Approach

    In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. In Psychometrics such variables are analysed under the heading of item response models (IRM). In Econometrics, subjective well-being (SWB) and self-assessed health (SAH) studies, and in marketing research, Ordered Probit, ...

    Amsterdam: Tinbergen Institute, 2024,
    (Tinbergen Institute Discussion Paper TI 2024-075/III)
    | Bernard M.S. van Praag, Peter J. Hop, William H. Greene
  • Is It Possible to Raise National Happiness?

    We revisit the Easterlin paradox about the flatness of the happiness trend over the long run, in spite of sustained economic development. With a bounded scale that explicitly refers to “the best possible life for you” and “the worst possible life for you”, is it even possible to observe a rising trend in self-declared life satisfaction? We consider the possibility of rescaling, i.e. that the interpretation ...

    Paris School of Economics, 2024,
    (Working Paper No. 2024-61)
    | Alberto Prati, Claudia Senik
  • Why Do Migrants Stay Unexpectedly? Misperceptions and Implications for Integration

    Empirical evidence suggests that a large proportion of immigrants who initially intended to stay temporarily in the destination country end up staying permanently, which may lead to suboptimal integration. We study systematic causes of unexpected staying that originate in migrant misperceptions. Our framework contains uncertainty about long-term wages, endogenous integration and savings in the short ...

    In: Journal of Mathematical Economics 117 (2025), 103099 | Marc Kaufmann, Joël Machado, Bertrand Verheyden
  • Family care in Germany and its gender-(un)specific patterns: an analysis using novel data from the German Socio-Economic Panel Innovation Sample

    This article examines how the characteristics of people needing care determine the provision of family care and the time intensity of caring for men and women. Using novel data, we conduct linear (probability) regression models and find that women face family care demands as often as men but tend to provide more (time-intensive) care. When of retirement age, men are more likely than women to meet care ...

    In: International Journal of Care and Caring (online first) (2024), 1-17 | Nadiya Kelle, Ulrike Ehrlich
  • Time to Volunteer: Changing Determinants and Correlates for Time Contributions to Voluntary Activities

    Volunteers’ time contributions have decreased in some European societies, and researchers have sought to understand why. This study aims to uncover the relationship between work-family life changes and changes in individual voluntary behaviour with volunteers’ time contributions. To analyse how determinants for volunteer time contributions have changed over time, we draw on cross-sectional data from ...

    In: VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations 35 (2024), 6, 1219-1233 | Nadiya Kelle, Corinna Kausmann, Julia Simonson
  • Personality types revisited–a literature-informed and data-driven approach to an integration of prototypical and dimensional constructs of personality description

    A new algorithmic approach to personality prototyping based on Big Five traits was applied to a large representative and longitudinal German dataset (N = 22,820) including behavior, personality and health correlates. We applied three different clustering techniques, latent profile analysis, the k-means method and spectral clustering algorithms. The resulting cluster centers, i.e. the personality prototypes, ...

    In: PLOS ONE 16 (2021), 1, e0244849 | André Kerber, Marcus Roth, Philipp Yorck Herzberg
7040 results, from 511
keyboard_arrow_up