New Data Sources in Inequality Research

Wednesday, 9 July 2025: 11:00-12:45
Location: SJES008 (Faculty of Legal, Economic, and Social Sciences (JES))
RC28 Social Stratification (host committee)

Language: English

This session invites contributions that explore innovative data sources for the study of social inequality. Traditional data sources have provided valuable insights into various aspects of inequality, yet new forms of data – such as administrative records, big data, and especially digital trace data – offer unprecedented opportunities for more granular and timely analysis. Digital behavioral data, such as data based on people’s internet use, their behavior on social media, on their mobile devices, or in online transactions, also have the advantage of not suffering from self-reporting biases and declining participation rates in surveys.

Papers that use these novel data sources to address core issues in social stratification research such as income inequality, wealth, the welfare state, educational inequality, labor market disparities, or other areas are particularly encouraged. Methodological contributions discussing the challenges and solutions in utilizing these new data sources are also welcome.

Session Organizer:
Barbara BINDER, GESIS Leibniz Institute for the social sciences, Germany
Oral Presentations
Leveraging Digital Trace Data to Explore Wealth Perception in Inequality Research
Hilke BROCKMANN, European University Institute, Italy; Florencia PIÑEYRÚA NATHALIA, National Council for Scientific and Technical Research/National University of San Martin, Argentina; Amirhossein SARKABOUDI, Arizona State University, USA; Francesco SMALDONE, Marconi University Rome, Italy
DNA Reveals the Growing Ancestral Diversity of the United States
Sam TREJO, USA; Marissa THOMPSON, Columbia University, USA
Nationality, Ethnicity, and Religiosity-Based Inequality in Labor and Capital Incomes, Israel 1987-2022
Tali KRISTAL, University of Haifa, Israel; Yinon COHEN, United States
Socioeconomic Status and Patterns of Online Behavior in Germany
Barbara BINDER, GESIS Leibniz Institute for the social sciences, Germany
Income and Health Inequalities Utilizing Administrative Big Data: An Analysis of National Health Insurance Service Database in South Korea
Minhyeok KIM, Changwon National University, South Korea; Minhye KIM, Changwon National University, South Korea; Eun Jeong KIM, Changwon National University, South Korea
Does Fertility Help Explain SES Gaps in Health and Aging? Evidence from Methylation Data
Dalton CONLEY, Princeton University, USA; Beza TADDESS, Princeton University, USA
Urban Amenities, Household Economic Conditions, and Emotional and Psychological Outcomes of Hong Kong Residents during the COVID-19 Pandemic
Chi ZHANG, China
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