Estimating Madagascar economic growth using the Mixed Data Sampling (MIDAS) approach

Andrianady Josue, Njakanasandratra Rajaonarison () and Yves Razanajatovo

MPRA Paper from University Library of Munich, Germany

Abstract: In this document, we introduce a forecasting model for the Gross Domestic Product (GDP) to estimate the economic growth of Madagascar in 2022. Normally, important macroeconomic variables are reported at different frequencies. For instance, GDP and foreign trade figures are typically provided on a quarterly and monthly basis respectively. However, traditional econometric models necessitate data to be harmonized to a common frequency by aggregating at the highest available frequency, which is known as temporal aggregation. Nonetheless, this approach has a disadvantage of losing information. Consequently, we propose the Mixed Data Sampling (MIDAS) method as an alternative.

Keywords: MIDAS; economic growth; Madagascar (search for similar items in EconPapers)
JEL-codes: C1 C4 C41 (search for similar items in EconPapers)
Date: 2023-07
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