Paper uses machine learning to nowcast GDP in Lebanon
Analysis is a ‘distinct challenge’ in the country on account of data lags
A working paper published by the International Monetary Fund explores the potential for two machine learning techniques to help assess economic conditions in Lebanon, where it says analysis is a "distinct challenge".
Andrew Tiffin notes GDP data in Lebanon are compiled on an annual basis with a publication lag of between one and two years. "So to gauge the true state of the economy in 2015, policy makers may have to wait until 2017," he notes, in Seeing in the dark: a machine-learning approach
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