Seeing in the Dark : A Machine-Learning Approach to Nowcasting in Lebanon /

Macroeconomic analysis in Lebanon presents a distinct challenge. For example, long delays in the publication of GDP data mean that our analysis often relies on proxy variables, and resembles an extended version of the 'nowcasting' challenge familiar to many central banks. Addressing this p...

Cijeli opis

Bibliografski detalji
Glavni autor: Tiffin, Andrew
Format: Žurnal
Jezik:English
Izdano: Washington, D.C. : International Monetary Fund, 2016.
Serija:IMF Working Papers; Working Paper ; No. 2016/056
Teme:
Online pristup:Full text available on IMF