We study the inflation process in India, focusing on the periods before and after the adoption of flexible inflation-forecast targeting (FIT) in India. Our analysis uses several approaches including standard Phillips curve estimation for headline and core inflation, an examination of the sensitivity of medium-term inflation expectations to inflation surprises, and the properties of convergence between headline and core inflation. Results indicate an important role for domestic factors in driving the inflation process, and there is evidence that expectations have become more anchored since 2015. This result could be attributable to FIT adoption, or to persistently low food prices which dominate the post-FIT-adoption period. The policy implications of these structural changes in the inflation process are investigated using a semi-structural model calibrated to the Indian economy.
Mr. David J Hofman, Mr. Marcos d Chamon, Mr. Pragyan Deb, Mr. Thomas Harjes, Umang Rawat, and Itaru Yamamoto
We investigate the motives inflation-targeting central banks in emerging markets may have for intervening in foreign exchange markets and evaluate the case for such interventions based on the existing literature. Our findings suggest that the rationale for interventions depends on initial conditions and country-specific circumstances. The case is strongest in the presence of large currency mismatches or underdeveloped markets. While interventions can have benefits in the short-term, sustained over time they could entrench unfavorable initial conditions, though more work is needed to establish this empirically. A first effort to measure the cost of interventions to the credibility of policy frameworks suggests that the negative impact may be smaller than often assumed—at least for the set of more sophisticated inflation-targeting emerging-market central banks considered here.