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International Monetary Fund. Statistics Dept.
This Technical Assistance report on Dominica focuses on external sector statistics. The Eastern Caribbean Central Bank (ECCB) and the Central Statistics Office have implemented recommendations from the previous mission regarding timeliness and data accessibility. The mission focused on improving data sources for travel credits and the Citizenship by Investment Program (CBI) flows for the balance of payments. Revised 2022 balance of payments estimates were reviewed; additional refinement is needed. The ECCB has been incorporating available cash-based data on CBI flows from the fiscal sector into the balance of payments. However, fiscal data for 2021 and 2022 show some possible misclassifications that would affect the correct recording of external flows in the balance of payments. The report highlights that follow-up on the request made to the CBI to complete the ECCB balance of payments questionnaires for 2021 and 2022 and report on the existence of foreign escrow accounts. Coordination between data-producing agencies needs to be improved. A survey of cruise passengers is required to improve the estimates of visitor expenditure; visitors that arrive by yatchs are not surveyed either.
Mr. Yibin Mu, Sinem Kiliç Çelik, and Archit Singhal
Tourism is an important driver of Dominica’s economy. The damage of the pandemic on Dominica’s tourism sector was severer than in most regional peers, and the recovery has also been much slower, mostly due to the timing of lockdown restrictions. This paper reviews the tourism sector landscape in Dominica, assesses its recent performance relative to peers, and analyzes the main determinants and constraints for tourism development. Our econometric analysis shows that flight connectivity and demand variables play the most significant role in explaining tourism developments, while natural disasters can have negative lasting significant impacts. This calls for improving infrastructure and enhancing resilience.
Mr. Sam Ouliaris and Ms. Celine Rochon
Nowcasting enables policymakers to obtain forecasts of key macroeconomic indicators using higher frequency data, resulting in more timely information to guide proposed policy changes. A significant shortcoming of nowcasting estimators is their “reduced-form” nature, which means they cannot be used to assess the impact of policy changes, for example, on the baseline nowcast of real GDP. This paper outlines two separate methodologies to address this problem. The first is a partial equilibrium approach that uses an existing baseline nowcasting regression and single-equation forecasting models for the high-frequency data in that regression. The second approach uses a non-parametric structural VAR estimator recently introduced in Ouliaris and Pagan (2022) that imposes minimal identifying restrictions on the data to estimate the impact of structural shocks. Each approach is illustrated using a country-specific example.