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Book chapters by Zoltán Elekes and Balázs Lengyel in Handbook of Labour Mobility Read more

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Beyond Forecast Accuracy: Evaluating the Error–Profit Paradox in AI-Based Copper Price Prediction - new co-authored study by Tibor Bareith in Machine Learning and Knowledge Extraction journal Read more

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New research article by Dóra Gábriel, Monika Mária Váradi, Krisztina Németh, Bálint Koós and co-authors has been published in Journal of International Migration and Integration Read more

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Same Practices, Different Outcomes: Gender Gaps in Organic Certification - new research study by Imre Fertő and Valéria Lekics in Sustainable Development Read more

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KTI Szeminárium: Tóth Gergő – Antidepressant Use and Spatial Social Capital

The presentation will take place in a hybrid format via zoom interface or in person in the seminar room T 4.23 CTI on 08.02.2024, 13.00.

Speaker: Tóth Gergő

Title: Antidepressant Use and Spatial Social Capital

Abstract: Social capital may help individuals maintain their mental health. Most empirical work based on small-scale surveys finds that bonding social capital and cohesive social networks are critical for mental well-being, while bridging social capital and diverse networks are considered less important. Here, we link data on the antidepressant use of 277,344 small-town residents to a nation-wide online social network. The data enable us to examine how individuals’ mental healthcare is related to the spatial characteristics of their social networks including their strong and weak ties. We find that, besides the cohesion of social networks around home, the diversity of connections to distant places is negatively correlated with the probability of antidepressant use. Spatial diversity of social networks is also associated with decreasing dosage in subsequent years. This relationship is independent of the local access to antidepressants and is more prevalent for young individuals. Structural features of spatial social networks are prospectively associated with depression treatment.

Short bio: Gergő Tóth completed his bachelor’s degree at Eötvös Loránd University’s ELTEcon program, then received his MA degree from Central European University. He received a Ph.D. from the University College Dublin’s Spatial Dynamics Lab. In his thesis, he studied the role of network robustness on the economic resilience of regions. For the time being he is a postdoctoral researcher at Umea University’s CERUM Lab and a junior research fellow at the Centre for Economic and Regional Studies

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