Abstract:This paper attempts to estimate long-run forecasting of Indian GDP for the post-COVID period using the factor error correction model (FECM). The model builds on a dynamic factor model that directly and indirectly captures many dimensions affecting the cycles of a macro variable. Availability of big data enables the extraction of some common factors from large dimensions, which essentially produces better precision of forecasting estimates. The method first extracts leading factors and then add proxy policy var… Show more
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