NOWCASTING GDP WITH MACHINE LEARNING MODELS: EVIDENCE FROM THE US
Author(s) -
LUCAS SEABRA MAYNARD DA SILVA
Publication year - 2020
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.48271
Subject(s) - nowcasting , quarter (canadian coin) , intuition , computer science , feature selection , variable (mathematics) , machine learning , artificial intelligence , econometrics , dynamic factor , model selection , geography , economics , mathematics , meteorology , mathematical analysis , philosophy , archaeology , epistemology
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