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Middle East and Central Asia > Qatar

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Cover IMF Staff Country Reports
Singapore: 2024 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Singapore
International Monetary Fund. Asia and Pacific Dept
The 2024 Article IV Consultation with Singapore highlights that following a slowdown in 2023, growth is projected to recover gradually to 2.1 percent in 2024. After reaching 6.1 percent in 2022, inflation has steadily declined to 2.7 percent in April 2024. The pace of disinflation has nonetheless been gradual, with signs of persistent price pressures including from a tight labor market. With risks to global growth now broadly balanced, downside risks to growth outlook have diminished relative to last year, but Singapore remains vulnerable to a deepening of geo-economic fragmentation. Inflation risks remain tilted to the upside. The broadly neutral fiscal stance relative to 2023 will complement the tight monetary policy stance in achieving price stability, while targeted support to vulnerable households and firms will provide temporary relief from high costs of living and business. Singapore’s financial sector remains resilient with solid capital and liquidity buffers, though vigilance against pockets of vulnerabilities is warranted, including from potential systemic risks arising from the housing market. In this context, the tight macroprudential policy stance remains appropriate.
Keywords:
article IV consultation discussion; FSAP update; Singapore economy; CPI-All Items inflation; disinflation trend; Labor markets; Inflation; Artificial intelligence; Liquidity requirements; Global; Asia and Pacific
Cover IMF Staff Country Reports
Singapore: Selected Issues
International Monetary Fund. Asia and Pacific Dept
This Selected Issues paper estimates the exchange pass-through to inflation in Singapore with a particular focus on the role of labor market conditions. The paper first finds a strong exchange rate pass-through to inflation in Singapore, after accounting for the potential endogeneity of changes in the exchange rate. Further, it uncovers that labor market tightness dampens exchange rate pass-through and therefore could weaken monetary policy transmission. Overall, the results suggest that monetary policy should be more vigilant under a tight labor market condition. Under tight market conditions, the pass-through is found to be severely weakened and more so for the service components of the consumer price index basket. Overall, our findings suggest that the exchange rate-based monetary policy serves Singapore well, but it would need to be more vigilant when the labor market is tight. The paper then draws policy implications for taming inflation under tight labor market conditions. Further, policies designed to ease structural labor market tightness could help support monetary policy to ensure price stability in Singapore. This is consistent with a recent study on the US that suggests that dealing with the inflationary pressures originating from a tight labor market would require policy actions that bring labor demand and supply into a better balance.
Keywords:
AI exposure; IMF China growth projection; China growth shock; growth slowdown; growth shock; Artificial intelligence; Exchange rate pass-through; Inflation; Labor markets; Spillovers; Global; Southeast Asia; Asia and Pacific
Cover IMF Working Papers
Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa
Karim Barhoumi
,
Seung Mo Choi
,
Tara Iyer
,
Jiakun Li
,
Franck Ouattara
,
Mr. Andrew J Tiffin
, and
Jiaxiong Yao
The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning framework that helps track economic activity in real time for these economies. As illustrative examples, the framework is applied to selected sub-Saharan African economies. The framework is able to provide timely information on economic activity more swiftly than official statistics.
Keywords:
Sub-Saharan Africa; Economic Activity; GDP; Machine Learning; Nowcasting; COVID-19; machine learning approach; data sparsity; GDP statistics; crisis in Sub-Saharan Africa; learning framework; Oil prices; Real effective exchange rates; Africa; Global
Cover IMF Working Papers
Impact of COVID-19: Nowcasting and Big Data to Track Economic Activity in Sub-Saharan Africa
Brandon Buell
,
Reda Cherif
,
Carissa Chen
,
Jiawen Tang
, and
Nils Wendt
The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper presents a suite of high frequency and granular country-level indicator tools that can be used to nowcast GDP and track changes in economic activity for countries in SSA. We make two main contributions: (1) demonstration of the predictive power of alternative data variables such as Google search trends and mobile payments, and (2) implementation of two types of modelling methodologies, machine learning and parametric factor models, that have flexibility to incorporate mixed-frequency data variables. We present nowcast results for 2019Q4 and 2020Q1 GDP for Kenya, Nigeria, South Africa, Uganda, and Ghana, and argue that our factor model methodology can be generalized to nowcast and forecast GDP for other SSA countries with limited data availability and shorter timeframes.
Keywords:
model prediction; quantile plot; ML model; GDP YoY; data variable; YoY percent change; Factor models; Machine learning; Time series analysis; Spot exchange rates; Mobile banking; Africa; Sub-Saharan Africa
Cover IMF Working Papers
Machine Learning and Causality: The Impact of Financial Crises on Growth
Mr. Andrew J Tiffin
Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some leading work in this area, using a concrete example—assessing the impact of a hypothetical banking crisis on a country’s growth. By enabling consideration of a rich set of potential nonlinearities, and by allowing individually-tailored policy assessments, machine learning can provide an invaluable complement to the skill set of economists within the Fund and beyond.
Keywords:
WP; machine-learning literature; instrumental-variables approach; treatment variable; confidence interval; ML technique; Supervised machine learning; causal inference; policy evaluation; counterfactual prediction; randomized experiments; treatment effects; banking crisis; financial crisis; B. machine learning; machine learning tool; machine-learning modification; RF algorithm; machine-learning model; Machine learning; Exchange rate flexibility; Global
Cover Policy Papers
Guidance Note for Article IV Consultations
International Monetary Fund
This note provides guidance to staff on the conduct of surveillance in the context of Article IV consultations, a core activity of the Fund. Surveillance involves the continuous monitoring of members‘ economic and financial policies and their impact on their own and global stability. During Article IV consultations, staff holds pointed discussions with country authorities on the economic situation, the authorities‘ policies and how these affect the country‘s stability, the role of potential or actual spillovers where relevant, and desirable policy adjustments. These discussions are then reported to the Fund‘s Executive Board for its consideration. The goal, through thorough analysis, candid discussions, and a peer-review mechanism, is to promote the stability of members‘ economies, as well as the effective operation of the international monetary system, including through maintaining global stability.
Keywords:
PP; Article IV consultation; balance of payments stability; staff report; policy note; consultation meeting; country authorities; policy adjustment; Policy discussion; Spillovers; Exchange rates; Exchange rate policy; Financial sector; Financial stability assessment; Global
Cover IMF Working Papers
Lost in Transmission? The Effectiveness of Monetary Policy Transmission Channels in the GCC Countries
Mr. Serhan Cevik
and
Ms. Katerina Teksoz
This paper empirically investigates the effectiveness of monetary policy transmission in the Gulf Cooperation Council (GCC) countries using a structural vector autoregressive model. The results indicate that the interest rate and bank lending channels are relatively effective in influencing non-hydrocarbon output and consumer prices, while the exchange rate channel does not appear to play an important role as a monetary transmission mechanism because of the pegged exchange rate regimes. The empirical analysis suggests that policy measures and structural reforms - strengthening financial intermediation and facilitating the development of liquid domestic capital markets - would advance the effectiveness of monetary transmission mechanisms in the GCC countries.
Keywords:
WP; GCC country; interest rate; contractionary monetary policy; Monetary policy transmission; inflation; credit channel; structural VAR; monetary policy shock; exchange rate regime; GCC aggregate; GCC economy; Exchange rates; Exchange rate arrangements; Bank credit; Structural vector autoregression; Monetary transmission mechanism; Global
Cover IMF Working Papers
Inflation Differentials in the GCC: Does the Oil Cycle Matter?
Mr. Oral Williams
and
Mr. Kamiar Mohaddes
This paper uses a pairwise approach to investigate the main factors that have been driving inflation differentials in the Gulf Cooperation Council (GCC) region for the past two decades. The results suggest that inflation differentials in the GCC are largely influenced by the oil cycle, mainly through the credit and fiscal channels. This implies that closer coordination of fiscal policies will be key for facilitating the closer integration of the GCC economies and ahead of the move to a monetary union. The results also indicate that after controlling for cyclical factors, convergence increased even during the recent oil boom.
Keywords:
WP; inflation differential; Inflation differentials; convergence; oil prices; panel data; pairwise approach; monetary union; Gulf Cooperation Council (GCC) countries.; credit growth differential; GCC inflation rates; weight differential; GCC country; Pairwise differential; differentials in the GCC; country inflation equation; oil revenue differential; inflation gap; government expenditure growth differential; rent weight differential; Inflation; Fiscal stance; Nominal effective exchange rate; Credit; Consumer price indexes; North Africa; Europe; Asia and Pacific
Cover IMF Working Papers
Establishing Conversion Values for New Currency Unions: Method and Application to the planned Gulf Cooperation Council (GCC) Currency Union
Mr. Bassem M Kamar
,
Jean-Etienne Carlotti
, and
Mr. Russell C Krueger
A key issue in creating a new currency union is setting the rates to convert national currencies into the new union currency. Planned unions in the Gulf region and Africa are seeking methods to set the conversion rates when their new currencies are created. We propose a forward-looking econometric methodology to determine conversion rates by calculating the degree of misalignment in the real exchange rate, and apply it to the GCC currency union. For each GCC currency, we identify the year at which the economy is the closest to its internal and external equilibrium, and then estimate the degree of misalignment in the bilateral real exchange rate vis-à-vis the U.S. dollar based on WEO forecasts until 2013. Application of the methodology to other regions is also considered.
Keywords:
WP; currency union; GCC currency; U.S. dollar; nominal exchange rate; GCC country
Cover Regional Economic Outlook, October 2008, Middle East and Central Asia
Regional Economic Outlook, October 2008, Middle East and Central Asia
International Monetary Fund. Middle East and Central Asia Dept.

Abstract

Regional Economic Outlook: Middle East and Central Asia underlines that the region has continued to experience strong growth in 2008, and the short-term outlook is generally favorable. However, inflation has emerged as a key issue, and while the global credit crunch has thus far had a limited impact on regional financial markets, the financial turmoil and slowdown in developed economies could lower growth in the period ahead. Policies will need to focus on tightening the fiscal and monetary stance where appropriate, with greater exchange rate flexibility, and continuing efforts to strengthen the resilience of financial sectors.

Keywords:
REO; abbreviation FY; price; MCD country; per capita income; en dash; a number of assumption; country acronym; inflation expectation; inflation risk; Inflation; Public sector wages; Food prices; Commodity prices; Emerging and frontier financial markets; Global; Middle East and Central Asia; Maghreb; Central Asia and the Caucasus; Middle East; North Africa; Oil prices; East Africa