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This paper identiftes U.S. monetary and ftscal dominance regimes using machine learning techniques. The algorithms are trained and verifted by employing simulated data from Markov-switching DSGE models, before they classify regimes from 1968-2017 using actual U.S. data. All machine learning...
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This paper identifies U.S. monetary and fiscal dominance regimes using machine learning techniques. The algorithms are trained and verified by employing simulated data from Markov-switching DSGE models, before they classify regimes from 1968-2017 using actual U.S. data. All machine learning...
Persistent link: https://www.econbiz.de/10012292233
propose a new methodology to automate patent classification. We contrast existing taxonomies with our own upon a widely used … patent dataset. In a regression analysis of patent classes upon patent characteristics, we show that classification bias …
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, classification has been done manually. If it were possible to combine new computational tools and administrative wage records to …
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intelligence (AI) can play in facilitating product classification at scale and, more generally, in enhancing the categorization of …
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When does the Federal Reserve deviate from its dual mandate of pursuing the economic goals of maximum employment and price stability and what are the consequences? We assemble the most comprehensive collection of Federal Reserve speeches to-date and apply state-ofthe-art natural language...
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