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Europe > Iceland

You are looking at 1 - 3 of 3 items for :

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Cover IMF Working Papers
UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification
Mr. Jorge A Chan-Lau
We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes into time-invariant non-overlapping clusters, each of which could be identified with a different regime. The likelihood that a country may experience an econmic crisis could be set equal to its cluster crisis frequency. Moreover, unFEAR could serve as a first step towards developing cluster-specific crisis prediction models tailored to each crisis regime.
Keywords:
clustering; unsupervised feature extraction; autoencoder; deep learning; biased label problem; crisis prediction; WP; crisis frequency; crisis observation; crisis risk; crisis data points; machine learning; Early warning systems; Global
Cover IMF Staff Country Reports
Iceland: 2016 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Iceland
International Monetary Fund. European Dept.
This paper provides an assessment of the economic conditions, outlook, and crises in Iceland. There is a mounting sense that capital controls hurt growth prospects, repressing local financial markets, scaring foreign investors, and impeding savings diversification, and that it is time for them to go. Recent settlements with the bank estates are a huge step forward, improving already favorable macroeconomic conditions. At 4 percent in 2015 and gaining pace, real GDP expansion is among the fastest growing in Europe, opening up a positive output gap. However, the biggest risk for Iceland is overheating. Large wage awards on top of already hot economic readings speak to Iceland’s boom-bust history.
Keywords:
ISCR; CR; Iceland; right; CBI governor; IMF staff projection; CBI transactions; inflation expectation; baseline projection; asset price pressure; Bank supervision; Capital account liberalization; Capital controls; Wages; Global; Europe
Cover IMF Staff Country Reports
Iceland: Report on the Observance of Standards and Codes (ROSC)—Data Module
International Monetary Fund
This Report on the Observance of Standards and Codes on Data Module for Iceland highlights Data Module, response by the authorities, and detailed assessments using the data quality assessment framework. Iceland’s macroeconomic statistics are generally of high quality and are adequate to conduct effective surveillance. There is a high degree of quality awareness among Iceland’s statistical managers. There are some deficiencies in the periodicity and timeliness of the producer price index, and in the timeliness of central government finance statistics.
Keywords:
ISCR; CR; central bank; sc; central government; staff resource; balance of payments; ROSC exercise; ROSC recommendation; commitment to confidentiality; Consumer price indexes; Balance of payments statistics; Producer price indexes; Monetary statistics; Data collection; Europe