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, smart cities, smart districts, smart countryside; • Sustainability in water management; • Sustainable building technologies …
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This paper describes recent work to strengthen nowcasting capacity at the IMF's European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning...
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We model economic policy uncertainty (EPU) in the four largest euro area countries by applying machine learning techniques to news articles. The unsupervised machine learning algorithm used makes it possible to retrieve the individual components of overall EPU endogenously for a wide range of...
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years. We present a machine learning approach to the empirical estimation of authority and constraint in European Union (EU … from all EU directives and regulations enacted between 1958-2017. We assess validity by training our classifier on a random …
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