Comparative Forecasting of Some Key Economic Indicators Using Artificial Neural Networks and Ordinary Differential Equations: A Case Study of the Turkish Economy by Bahatdin Daşbaşı, Murat Taşyürek

“…This study contributes to developing economic forecasting models and provides valuable insights for decision-makers, particularly in times of economic uncertainty.…”
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Study of structural changes in the territorial development of the republic of Tatarstan by S. G. Sternik, I. F. Gareev, A. M. Nasrutdinov

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Digital maturity of the Russian metallurgical industry: drivers and challenges of growth in new geopolitical conditions. Part II. Key directions of digital transformation by I. S. Prokhorova, V. S. Ustinov, A. V. Elkhova

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Forecasting Türkiye's Paper and Paper Products Sector Import Using Artificial Neural Networks by Kamil Abdullah Eşidir, Yunus Emre Gür

“…The accuracy of the MLP and RBF models highlights their potential as valuable tools for economic forecasting, providing insights that are crucial for optimizing supply chain operations and improving market responsiveness. …”
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Regulationist Macro-Models for Developing Countries. An Application to the Argentine New Development Pattern by Demian Tupac Panigo, Pablo Ignacio Chena

“…In this paper we present a regulationst structural macroeconometric model (RSMM) to develop economic forecasts and examine different policy outcomes in Argentina. …”
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Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach by Yunus Emre Gur

“…These results suggest that hybrid approaches can significantly improve economic forecasts and provide valuable insights for policymakers, investors, and market analysts.…”
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After COVID-19: Rethinking Fiscal Rules in Europe by Forum Introduction

“…The Summer 2020 Economic Forecast projects that the euro area economy will contract by 8.7% in 2020. …”
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