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Forecasting Aluminum Futures Prices: A Comparative Evaluation of Classical, Deep Learning and Transformer-based Models - new co-authored article by Tibor Bareith Read more

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Defining daily space use patterns in Hungary: mapping functional catchment areas - new co-authored study by Judit Berkes in Regional Statistics Read more

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‘In Hungary, Everything Is Better’ – Recently Arrived Older German Migrants’ Narratives about Relocating to Rural Hungary - new study by Dóra Gábriel, Krisztina Németh and Monika Váradi Read more

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The strong core of housing markets with partial order preferences - new study by Ildikó Schlotter and Mirabel Mendoza-Cadena has been published in Journal of Mathematical Economics Read more

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Rethinking Trade Flows: What New Insights Do Gravity Models with TiVA Data Bring? – by Imre Fertő & Magdolna Sass

  In an increasingly globalized economy, understanding international trade flows is critical for policymakers and economists alike. Traditional trade data have long been used to estimate and predict trade patterns between countries. However, as global value chains (GVCs) have evolved, there has been growing recognition that traditional trade data—based on gross exports—might not provide the […]