The use of high-frequency indicators in short-term forecasting models: The case of Latin American and Caribbean countries

This report examines the use of high-frequency indicators in forecasting short-term economic growth in Latin American and Caribbean countries, highlighting the benefits and challenges of this approach.

(Generated with the help of GPT-4)

The research utilized a nowcasting methodology, applying dynamic factor models that incorporate high-frequency data to forecast quarterly GDP growth rates. This approach allows for the inclusion of various indicators with different release schedules and addresses issues like missing data and mixed frequencies.

(Generated with the help of GPT-4)

The report explores the application of nowcasting methodology to generate accurate quarterly GDP growth forecasts in Latin America and the Caribbean. It discusses the advantages of using high-frequency data, the empirical models employed, and the challenges faced due to data availability and quality.

(Generated with the help of GPT-4)

Categories: English publication language | Latin America And The Caribbean geographic scope | data quality | data timeliness | dynamic factor models | economic analysis | economic indicators | empirical models | gdp forecasts | high-frequency data | nowcasting | quarterly growth rates