Nowcasting Real GDP in Samoa

This paper describes the recent work to strengthen the nowcasting capacity at the Central Bank of Samoa (CBS). It compiles available high-frequency datasets such as tourism receipts, agriculture market survey, remittances, among others, to nowcast real GDP in Samoa. Nowcasting enables the estimation of the present and near-term forecast. It employs standard nowcasting methods such as Bridge, Mixed Data Sampling (MIDAS), and Unrestricted MIDAS (U-MIDAS). All methods significantly outperform the naive forecasts. Our analysis show that forecast combination of the three methods minimizes the root mean squared error (RMSE) for both full and pre-COVID-19 samples, while U-MIDAS performs better during crises, particularly in identifying turning points during the COVID-19 pandemic. Strengthening nowcasting capacity is important for Samoa, where real GDP data release experiences up to a 90-day lag.

Authors

Publication Details

Journal
IMF Working Paper
Published
2025-05-01
DOI
https://doi.org/10.5089/9798229009782.001
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

Nowcasting Real GDP in Samoa

Geoffrey Heenan, Karras Lui, Ian Nield, Eucharist Muaulu et al.
IMF Working Paper
Fiscal Policy and Economic Growth
article

Nowcasting Real GDP in Samoa

Geoffrey Heenan, Karras Lui, Ian Nield, Eucharist Muaulu, Viiaonaoperesi Reupena, Ivy Sabuga, Aiulu Tolovaa
article en

Abstract

This paper describes the recent work to strengthen the nowcasting capacity at the Central Bank of Samoa (CBS). It compiles available high-frequency datasets such as tourism receipts, agriculture market survey, remittances, among others, to nowcast real GDP in Samoa. Nowcasting enables the estimation of the present and near-term forecast. It employs standard nowcasting methods such as Bridge, Mixed Data Sampling (MIDAS), and Unrestricted MIDAS (U-MIDAS). All methods significantly outperform the naive forecasts. Our analysis show that forecast combination of the three methods minimizes the root mean squared error (RMSE) for both full and pre-COVID-19 samples, while U-MIDAS performs better during crises, particularly in identifying turning points during the COVID-19 pandemic. Strengthening nowcasting capacity is important for Samoa, where real GDP data release experiences up to a 90-day lag.

IMF Working PaperVol. 2025(092)
Openalex Percentile: Top 82%
Fiscal Policy and Economic Growth
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