Hyunseok Jung Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
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Biography and Research Information
OverviewAI-generated summary
Hyunseok Jung's research program investigates methods for analyzing complex data, particularly within the realm of social science and economics. He has published work on the conditional mode in parametric frontier models, a statistical technique used for efficiency analysis. Jung also studies methods for identifying peer effects in social networks without requiring explicit network structure data. His recent work examines how to determine which classmates are most influential as peers in elementary school settings, using data from New York City schools.
His scholarly output includes four publications, with an h-index of 1 and a total of 1 citation. Jung collaborates with H. Jung at the University of Arkansas at Fayetteville on shared publications.
Metrics
- h-index: 2
- Publications: 9
- Citations: 20
Selected Publications
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JUE Insight: Mass Shootings, Community Mobility, and the Relocation of Economic Activity (2026)
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Shared Hardships Strengthen Bonds: Negative Shocks, Embeddedness, and Employee Retention (2025)
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What makes a classmate a peer? Examining which peers matter in NYC elementary schools (2025)
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Testing for Peer Effects Without Specifying the Network Structure (2024)
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The conditional mode in parametric frontier models (2023)
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