Vector autoregressive modeling shows commodity prices drive inflation in India, suggesting policy reassessment.
This research employed Vector Autoregressive (VAR) modelling to study global commodity price transmission to Indian inflation for the period 2001-2023. The results showed that an increase in global commodity prices created significant short-run inflationary pressure in the wholesale price index (WPI) of India. However, contrary to theory, the inclusion of the exchange rate in the model did not function as a strong buffer to cushion inflationary pass-through. Furthermore, monetary policy response of the Reserve Bank of India through repo rate changes was preemptive but transient, exerting only a subdued influence on inflation. The results underscored major constraints of conventional policy tools like monetary policy and exchange rate, suggesting re-consideration of the current macroeconomic stabilisation framework to combat externally driven inflationary pressures. Keywords: CRB index, inflation, repo rate, vector autoregressive model, wholesale price index. JEL Codes: F14, F62, G15, Q02.
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