A technical assistance mission to the Economics and Statistics Office (ESO) of the Cayman Islands supported improved methods for compiling Gross Domestic Product (GDP) by economic activity and by expenditure components and assessed the feasibility of compiling institutional sector accounts (ISA) for the Cayman Islands. Given the importance of tourism for the economy, guidance was provided on how to develop a Tourism Satellite Account (TSA). A review of the data sources and methods used to compile GDP at constant prices was undertaken and improvements to deflators in the construction and service areas were recommended. These data enhancements will improve the understanding of the Cayman Islands economy and will also assist the Cayman Islands in meeting the IMF Special Data Dissemination Standards requirements.
International Monetary Fund. Monetary and Capital Markets Department
The impact of fintech in Trinidad and Tobago is currently concentrated in the payments sector. In meeting with firms utilizing fintech, trade bodies, and public authorities, we found that the impact of fintech is not yet broad based and is permeating primarily in relation to e-money and payment service providers (PSP), and more slowly in other areas such as crowdfunding, robo-advice, and crypto assets. While data on the impact of fintech are limited, we use public information, conversations with authorities and market participants, and applications for licensing and outreach for regulatory support as guides, which suggest that fintech remains relatively concentrated.
This paper presents the technical assistance report on remote national accounts mission in St. Lucia. The improved estimates will improve the understanding of the Saint Lucia economy, notably the needs of the Ministry of Finance for more robust and timely national accounts statistics. This development will also help Saint Lucia meet the IMF Special Data Dissemination Standards requirements. Training has been provided on the different components of Gross Domestic Product by expenditure (GDP-E) for current price methods and price and volume measurement. The mission identified some research topics for the national accounts department as part of its development of GDP-E. This includes checking the quality of some indicators and identifying whether some sources are available at a lower level of detail. The mission also quality assured the current methods used for compiling accommodation in the production measure of GDP. In order to support progress toward the objectives, the mission recommended priority recommendations to make headway in improving Saint Lucia’s national accounts.
International Monetary Fund. Western Hemisphere Dept.
This technical assistance report on St. Kitts and Nevis highlights strengthening core business functions audit capacity (RTAT). In response to a request from the St. Kitts and Nevis Inland Revenue Division (IRD), Caribbean Regional Technical Assistance Centre provided capacity development (CD) in strengthening audit capacity under the RTAT training program. The main objective of this CD was to strengthen capacity to audit and verify accuracy of reporting by taxpayers in the Financial Sector. The CD started with the provision of five days of training of IRD auditors where the purpose was to prepare the authorities to implement the necessary actions in adopting good practice in auditing the Financial Sector. The IRD will build on this training and CD when designing future audit program. Given the importance of Financial Sector in St. Kitts and Nevis, further support to ensure compliance in the sector would be beneficial. The IRD will need further assistance to strengthen the audit program of the Financial Sector and support to review of tax returns of the companies in that sector. As a first step the audit team should, develop a program of profile meetings to gather relevant information on the operations of various businesses in the sector.
The Financial Action Task Force’s gray list publicly identiﬁes countries with strategic deﬁciencies in their AML/CFT regimes (i.e., in their policies to prevent money laundering and the ﬁnancing of terrorism). How much gray-listing aﬀects a country’s capital ﬂows is of interest to policy makers, investors, and the Fund. This paper estimates the magnitude of the eﬀect using an inferential machine learning technique. It ﬁnds that gray-listing results in a large and statistically signiﬁcant reduction in capital inﬂows.
Jannick Damgaard, Thomas Elkjaer, and Niels Johannesen
Macro statistics on foreign direct investment (FDI) are blurred by offshore centers with enormous inward and outward investment positions. This paper uses several new data sources, both macro and micro, to estimate the global FDI network while disentangling real investment and phantom investment and allocating real investment to ultimate investor economies. We find that phantom investment into corporate shells with no substance and no real links to the local economy may account for almost 40 percent of global FDI. Ignoring phantom investment and allocating real investment to ultimate investors increases the explanatory power of standard gravity variables by around 25 percent.