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Europe > Iceland

You are looking at 1 - 10 of 23 items for :

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Cover IMF Staff Country Reports
Iceland: 2023 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Iceland
International Monetary Fund. European Dept.
The 2023 Article IV Consultation discusses that the Icelandic economy has shown remarkable resilience and rebounded quickly from the multiple shocks in recent years. The economy is currently operating well above potential, which, together with high import and house prices, has pushed inflation significantly above target, and contributed to external imbalances. While growth is expected to moderate to 3.2 percent in 2023 and 1.9 percent in 2024 on headwinds from abroad and tight macroeconomic policies, the medium-term outlook is favorable. In the near term, policy tightening coupled with headwinds from the deteriorating terms of trade will dampen domestic demand and reduce imbalances, though private consumption growth is likely to remain robust on a further drawdown of household savings and strong employment growth supported by continued immigration. Banks could face funding pressures if pension funds were to re-direct their investments from domestic to foreign markets.
Keywords:
inflation expectation; headline inflation; monetary policy horizon; deteriorating inflation outlook; cash flow; policy tightening; Inflation; Fiscal stance; Pension spending; Financial Sector Assessment Program; Government finance statistics; Global
Cover IMF Working Papers
Housing Boom and Headline Inflation: Insights from Machine Learning
Yang Liu
,
Di Yang
, and
Mr. Yunhui Zhao
Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with fast-rising house prices. We then apply machine learning methods to forecast inflation in two housing components (rent and owner-occupied housing cost) of the headline inflation and draw tentative inferences about inflationary impact. Our results suggest that for most of these countries, the housing components could have a relatively large and sustained contribution to headline inflation, as inflation is just starting to reflect the higher house prices. Methodologically, for the vast majority of countries we analyze, machine-learning models outperform the VAR model, suggesting some potential value for incorporating such models into inflation forecasting.
Keywords:
Housing Price Inflation; Rent; Owner-Occupied Housing; Machine Learning; Forecast; machine-learning model; machine learning method; housing boom; D. forecasting result; Inflation; Housing prices; Housing; Consumer price indexes; Global; Europe; Australia and New Zealand; North America; Caribbean; VAR model
Cover IMF Staff Country Reports
Iceland: 2022 Article IV Consultation - Press Release; and Staff Report
International Monetary Fund. European Dept.
This 2022 Article IV Consultation discusses that Iceland has weathered recent shocks to the economy relatively well. Well-designed policy measures and a solid health system eased the impact of the pandemic, allowing real gross domestic product and employment to recover strongly. Robust domestic demand and favorable terms of trade boosted output growth to 4.3 percent in 2021, despite slower recovery in tourism. Growth is expected to remain moderate in 2022 and the medium term. Careful policy coordination is required to entrench the recovery, stem risks and rebuild buffers to pre-pandemic levels. Policies should mitigate the flaring-up in inflation, external imbalances, and house prices. Structural reforms should facilitate economic diversification and make the economy more resilient to shocks. Diversification efforts should focus on easing regulatory burdens on start-ups and spurring innovation by leveraging Iceland’s human capital and advanced digital infrastructure. The new collective wage agreement can also foster diversification and resilience through better alignment of wage and productivity growth.
Keywords:
inflation expectation; liability positions vis-à-vis nonresident; steering inflation; housing policy; data standard; rising prices; policy coordination; Inflation; Housing prices; Housing; Government finance statistics; Central bank policy rate; Global
Cover IMF Staff Country Reports
Iceland: 2021 Article IV Consultation-Press Release; Staff Report; Staff Statement; and Statement by the Executive Director for Iceland
International Monetary Fund. European Dept.
The Icelandic economy has been severely affected by the pandemic. Sharp tourism contraction and containment measures caused real GDP to plummet by 6.6 percent in 2020. A modest recovery will take hold in 2021. Recovery prospects in the tourism sector depend on control of the epidemic and progress in global and domestic vaccine distribution, spelling a challenging outlook with possibly deep medium-term scarring. Fiscal policy should continue to support the economy for now. Policy buffers accumulated over the last decade provided space for a large fiscal support and accommodated substantial automatic stabilizers. Additional stimulus is planned in 2021 to address still large slack in the economy, mitigate scarring, and provide confidence in the event of downside risks. Medium-term policies should ensure that public debt is firmly on a downward path, while limiting the drag on growth.
Keywords:
inflation expectation; notification band; family support benefit; monetary policy effort; fiscal policy mix; COVID-19; Tourism; Government finance statistics; Financial statistics; Currency markets; Global; Europe
Cover IMF Staff Country Reports
Kenya: Technical Assistance Report—Improving the Quality of Fiscal and Public Debt Data (October 7-16, 2019)
International Monetary Fund. Statistics Dept.
In response to a request from the Government of Kenya, an AFRITAC East (AFE) government finance statistics (GFS) technical assistance (TA) mission was conducted in Nairobi, Kenya, during October 7–16, 2019. The primary objective of the mission was to support staff in improving the quality of fiscal and public debt data for the general government and migration of the fiscal framework to Government Finance Statistics Manual 2014 (GFSM 2014) concepts to facilitate fiscal and debt policy analysis for improved public financial management. This is a continuation of the ongoing efforts in capacity development aimed at supporting member countries to adopt the GFSM 2014 and the Public Sector Debt Statistics Guide (PSDSG 2011).
Keywords:
IMF PSDS Questionnaire; appendix XI; appendix I. Implementation of recommendation; BCG statement; TA mission; Government finance statistics; Public sector; Fiscal governance; Total expenditures; Global
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 Working Papers
The More the Merrier? A Machine Learning Algorithm for Optimal Pooling of Panel Data
Marijn A. Bolhuis
and
Brett Rayner
We leverage insights from machine learning to optimize the tradeoff between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that estimates the similarity of economic structures across countries and selects the optimal pool of countries to maximize out-of-sample prediction accuracy of a model. We apply the new alogrithm by nowcasting output growth with a panel of 102 countries and are able to significantly improve forecast accuracy relative to alternative pools. The algortihm improves nowcast performance for advanced economies, as well as emerging market and developing economies, suggesting that machine learning techniques using pooled data could be an important macro tool for many countries.
Keywords:
WP; country; algorithm; Machine learning; GDP growth; forecasts; panel data; pooling; proximate country; machine learning method; example country; macroeconomic aggregate; bias-variance tradeoff; country of interest; Production growth; Eastern Europe
Cover IMF Staff Country Reports
Iceland: 2019 Article IV Consultation-Press Release and Staff Report
International Monetary Fund. European Dept.
This 2019 Article IV Consultation with Iceland discusses that after years of robust growth, economic activity has significantly weakened. Supply disruptions in tourism, the engine of recent growth, and the associated uncertainty have triggered a drop in domestic demand and an increase in unemployment. A swift policy response, with fiscal relaxation and monetary easing, has stabilized expectations and cushioned the effects. A moderate but fragile growth recovery is expected in 2020. Macroprudential measures are helping to preserve buffers for managing financial stability risks. Macroprudential policies are adequate, given still elevated household debt and real-estate prices and benign external financing conditions. Looking forward, the macroprudential toolkit could be expanded to contain potential risks in the loan portfolio over the medium term. Ongoing education reforms would boost human capital and productivity, greater transparency of large unlisted companies would preserve the business environment, and strategic policies in tourism and fisheries would protect the sustainability of traditional economic sectors.
Keywords:
ISCR; CR; IMF staff country; inflation expectation; policy; Policy space; gross domestic product; policy accountability; Anti-money laundering and combating the financing of terrorism (AML/CFT); Income; Global
Cover IMF Staff Country Reports
Iceland: 2018 Article IV Consultation-Press Release; Staff Report; Staff Statement; and Statement by the Executive Director for Iceland
International Monetary Fund. European Dept.
Iceland is experiencing an economic slowdown that has reduced overheating concerns. Tourism growth has decelerated and the króna has stopped appreciating. Demand management has become easier, allowing the authorities to focus on medium-term priorities, including infrastructure, healthcare, education, and the environment. Risks, however, have become more evident. High fuel prices and other factors are challenging the airline business; world trade tensions are escalating; and the United Kingdom—a vital trading partner—is not yet assured of a smooth EU exit. Icelandic policies thus need to focus on further increasing resilience to shocks.
Keywords:
ISCR; CR; competition authority; staff appraisal; baseline rojections; increase government investment; IMF staff projection; liability positions vis-à-vis nonresident; tourism growth; foreign currency; Current account surpluses; Income; Government finance statistics; Fiscal stance; Global; Europe
Cover IMF Working Papers
Credit Growth and Economic Recovery in Europe After the Global Financial Crisis
Sergei Antoshin
,
Mr. Marco Arena
,
Nikolay Gueorguiev
,
Mr. Tonny Lybek
,
Mr. John Ralyea
, and
Mr. Etienne B Yehoue
This paper reviews the empirical relationships between credit growth, economic recovery, and bank profitability in Europe after the global financial crisis (GFC). We find that the post-GFC recoveries in Europe have been weaker than previous recoveries, with the “double-dip” recessions in 2011–12 in many countries and the worldwide reach of the GFC explaining the underperformance. Bank lending has been subdued as well, but this appears to have only held back the recovery relatively moderately. A 10 percent increase in bank credit to the private sector is associated with a rise of 0.6–1 percent in real GDP and 2–2½ percent in real private investment. These relationships have not changed significantly during and after the GFC. Loan quality, customer deposits, bank equity price index, and bank capital appear to be closely linked to bank lending. As expected, bank profitability is positively and significantly influenced by credit growth, but this relationship has weakened after the GFC.
Keywords:
WP; credit growth; economic activity; private sector; price index; economic recovery; creditless recoveries; bank profitability; global financial crisis; Europe; dummy recession; recovery dummy; CESEE recession-recovery pattern; GFC-induced recession; recovery period; GFC recovery; credit dynamics; creditless recovery; GFC recession; credit extension; Credit; Bank credit; Global financial crisis of 2008-2009; Credit booms; Global