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Despite the profound impact of artificial intelligence (AI) in diverse contexts, large-scale socio-economic panel studies have rarely addressed the use and evaluation of AI for individual respondents. Therefore, the Artificial Intelligence Experience and Attitude Survey (AIEAS) is introduced to measure awareness, experience, attitude valence, and usage intention regarding AI in the work, healthcare, ...
In:
Psychological Test Adaptation and Development
7 (2026), 27–41
| Timo Gnambs, Florian Griese, Sabine Zinn
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We analyse how co-determination is related to non-compliance with the German minimum wage, which was introduced in 2015. The Works Constitution Act (WCA), the law regulating co-determination at the plant level, provides works councils with indirect means to ensure compliance with the statutory minimum wage. Based on this legal situation, our theoretical model predicts that non-compliance is less likely ...
In:
European Journal of Law and Economics
60 (2025), 2, 365–402
| Laszlo Goerke, Markus Pannenberg
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This study investigated motivation to learn (MtL), conceptualized at a global level of abstraction, and participation in adult learning and training (PAE). In Study 1 (N = 747, 65.1 % female; age: M[SD] = 43.21[12.09] years), the nomological network of global MtL revealed strong correlations with mastery goal orientation, intrinsic task value, need for cognition, and self-concept of ability. Cross-sectional ...
In:
Learning and Individual Differences
123 (2025), 102763
| Julia Gorges
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Social media has emerged as a pivotal platform for accessing news content today. While there appears to be a connection between news consumption on social media platforms and perceived knowledge of public affairs, little is known about the potential effect on specific issues like artificial intelligence (AI). To extend findings on people’s perceived knowledge of AI, how it relates to social media news ...
In:
Social Media + Society
11 (2025), 4,
| Manuel Goyanes, Hui Min Lee, Rebecca Scheffauer, Homero Gil de Zúñiga
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In Deutschland besitzen wenige Menschen sehr viel. Millionen andere haben keine oder nur geringe Ersparnisse. Das Vermögen ist ungleicher verteilt als in anderen Ländern. Woran liegt das?
In:
Bundeszentrale für politische Bildung online, 2025-12-10
(2025),
| Markus M. Grabka
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We examine the relationship between cognitive genetic endowments, measured via a validated polygenic index, and economic preferences. Using representative panel data linking genetic information to stated and revealed preferences, we find that higher cognitive PGI scores are associated with greater risk aversion, increased prosociality, and higher likelihood of holding financial assets, but show no ...
SSRN:
2026,
| Daniel Graeber, Tanaporn Maneein, Carsten Schröder
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Berlin:
DIW Berlin; SOEP,
2025,
(SOEPpapers on Multidisciplinary Panel Data Research 1230)
| Daniel Graeber, Lorenz Meister, Carsten Schröder, Sabine Zinn
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Wiesbaden:
Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung,
2025,
(Jahresgutachten 2025/26)
| Veronika Grimm, Ulrike Malmendier, Monika Schnitzer, Achim Truger, Martin Werding
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A number of studies show a link between social comparison and high levels of household debt. However, the exact underlying mechanisms are not yet well understood. In this paper, we disentangle two mechanisms in a lab experiment to study the effects of social image concerns and peer information on debt-financed consumption choices. We find that having to announce their consumption decisions publicly ...
In:
Journal of Behavioral and Experimental Finance
48 (2025), 101111
| Antonia Grohmann, Melanie Koch
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This study explores how volunteering buffers the association between negative life events and life satisfaction using data from two longitudinal surveys: HILDA (30,693 participants, one-year intervals) and SOEP (60,701 participants, two-year intervals). We applied multiple-group random intercept cross-lagged panel models to examine how volunteering moderates the effects between dependent negative life ...
In:
Personality and Individual Differences
250 (2026), 113534
| Daniel Groß, Jasmin Haffa