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  • genre: journal x
  • volume: 2022 x
Cover IMF Staff Country Reports
Albania: Technical Assistance Report-Tax Policy Reform Options for the MTRS
International Monetary Fund. Fiscal Affairs Dept.
Albania is preparing a Medium-Term Revenue Strategy (MTRS) to finance its development spending of an estimated 2.2–3.0 percent of GDP over five years. Revenue mobilization will be supported by comprehensive tax policy and administration reforms. International and regional comparisons suggest that there is room for additional revenues as well as improvement in the composition of tax revenues. This report presents options for tax policy reform to raise at least an additional 1.34 percent of GDP in revenues over five years and to improve the quality and efficiency of the tax system, that will enable the mobilization of further domestic revenues.
Keywords:
IMF resident representative office; Reform proposal; IMF's Fiscal Affairs Department; c-efficiency ratio; VAT revenue; value-added tax; Value-added tax; Personal income tax; Corporate income tax; Social security contributions; Central and Eastern Europe; Europe
Cover IMF Working Papers
Nowcasting GDP - A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies
Mr. Jean-Francois Dauphin
,
Mr. Kamil Dybczak
,
Morgan Maneely
,
Marzie Taheri Sanjani
,
Mrs. Nujin Suphaphiphat
,
Yifei Wang
, and
Hanqi Zhang
This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning (ML) algorithms to nowcast GDP growth across a heterogenous group of European economies during normal and crisis times. Most of our methods significantly outperform the AR(1) benchmark model. Our DFMs tend to perform better during normal times while many of the ML methods we used performed strongly at identifying turning points. Our approach is easily applicable to other countries, subject to data availability.
Keywords:
Nowcasting; Factor Model; Machine Learning; Large Data Sets; machine learning algorithm; novel data; approach Using DFM; support vector Machine; data availability; Machine learning; COVID-19; Business cycles; Factor models; Global; Caribbean; Europe
Cover Policy Papers
Gulf Cooperation Council: Economic Prospects and Policy Challenges for the GCC Countries
International Monetary Fund. Middle East and Central Asia Dept.
GCC policymakers have managed to quickly mitigate the economic impact of the twin COVID-19 and oil price shock. Commodity prices have surged, and the outlook is more positive for GCC countries, with new challenges linked to Russia’s invasion of Ukraine and tighter global financial conditions expected to have a limited impact on GCC economies. While GCC countries have overall benefited from higher, albeit volatile hydrocarbon prices, numerous risks still cloud the outlook—notably a slowdown in the global economy. In this context, the reform momentum established during the low oil price years should be maintained—irrespective of the level of hydrocarbon prices.
Cover Policy Papers
Gulf Cooperation Council: Economic Prospects and Policy Challenges for the GCC Countries
International Monetary Fund. Middle East and Central Asia Dept.
GCC policymakers have managed to quickly mitigate the economic impact of the twin COVID-19 and oil price shock. Commodity prices have surged, and the outlook is more positive for GCC countries, with new challenges linked to Russia’s invasion of Ukraine and tighter global financial conditions expected to have a limited impact on GCC economies. While GCC countries have overall benefited from higher, albeit volatile hydrocarbon prices, numerous risks still cloud the outlook—notably a slowdown in the global economy. In this context, the reform momentum established during the low oil price years should be maintained—irrespective of the level of hydrocarbon prices.
Keywords:
inflation dynamics; diversification Index; food CPI weight; Oil prices; Financial conditions index; Global