RBI Working Paper Fills Covid-Era State Inflation Gaps

A newly released Reserve Bank of India working paper uses household survey data to estimate missing state-level consumer price inflation figures during the Covid-19 pandemic.

The Reserve Bank of India (RBI) has published a new working paper addressing critical data gaps in regional price tracking during the Covid-19 pandemic. Titled “Data Gaps in State-Level Inflation: An Assessment for the Covid Period,” the research paper was authored by Purnima Shaw and R. K. Sinha as part of the RBI Working Paper Series. The study provides estimated state-level figures for months where official metrics were previously unavailable.

During the severe pandemic disruptions of 2020 and 2021, official statistical collection faced immense hurdles. While imputed national-level price indices were published for April and May 2020, official state-wise inflation metrics remained missing for four crucial months: April and May 2020, and April and May 2021. This absence of regional granularity hindered comprehensive economic analysis of the pandemic’s localized impact across different parts of India.

Leveraging Household Surveys for Missing Data

To bridge these historical information gaps, the researchers turned to the RBI’s Inflation Expectations Survey of Households (IESH). Despite pandemic lockdowns, the IESH continued bimonthly operations and data dissemination. By analyzing the distributions of centre-wise urban consumer inflation perceptions, three-month-ahead expectations, and historical state-level realized CPI-U figures, the authors successfully formulated state-level estimates for the missing periods.

The study highlights that when these newly derived state-level inflation estimates are aggregated, they track closely alongside the established all-India official Consumer Price Index (CPI) inflation series. Having consistent regional time-series data is vital under the current flexible inflation targeting framework, ensuring economists and researchers can conduct unbroken long-term analyses.

What this means for investors

For investors and analysts following Indian macroeconomic trends, granular data integrity is essential for anticipating monetary policy decisions. Regional price pressures often dictate localized consumer behavior, retail demand, and broader economic momentum. While working papers reflect the views of the authors rather than official central bank policy, bridging historical data gaps allows for better econometric modeling.

Enhanced regional datasets help researchers evaluate how past economic shocks propagated through different states, offering deeper insights into structural inflation drivers. For market participants tracking RBI rate actions and debt instruments, comprehensive historical data ensures that long-term trend analysis remains robust and reliable.

Frequently asked questions

Question? Which months lacked official state-level inflation data?

Official state-wise figures were missing for April and May 2020, along with April and May 2021.

Question? How did the researchers estimate the missing figures?

The authors utilized granular data from the RBI’s bimonthly Inflation Expectations Survey of Households (IESH), combining consumer inflation perceptions with past realized state-level CPI-U figures.

This article is for information only and is not investment advice. Do your own research or consult a licensed adviser before investing.

Based on information published by Reserve Bank of India (RBI). Source: Reserve Bank of India (RBI). Spotted an error? corrections@moneypuran.com