Statistics Ministry Secretary Saurabh Garg clarifies that the downward revision in nominal GDP is not an error but a result of transitioning from proxy-based estimates to empirical data for the informal sector.

  • Nominal GDP revisions are primarily driven by better measurement of the informal sector.
  • MoSPI has replaced corporate proxies with direct data from ASUSE and PLFS surveys.
  • The transition reflects a shift from 'estimated' to 'empirical' economic tracking.

In a detailed interaction with The Indian Express, Saurabh Garg, Secretary in the Ministry of Statistics and Programme Implementation (MoSPI), addressed the growing discourse surrounding the downward revision of nominal GDP estimates. The revisions, which affect the overlapping years from 2022-23 to 2024-25, have sparked debate among economists regarding the accuracy of India's growth trajectory.

The core of the issue lies in the transition from the old 2011-12 series to the new 2023-24 base-year series. According to Garg, the previous system relied heavily on proxy-based estimates for the unorganized sector. Since regular surveys were unavailable, MoSPI multiplied workforce counts by Value Added per Worker from decadal surveys and projected these forward using corporate growth rates and tax collections.

Why This Matters

BozokMedia analysis shows that this shift represents a fundamental change in how India perceives its 'shadow economy.' By moving away from corporate proxies, the government is admitting that the informal sector does not always mirror the growth of listed companies. This ensures that future policy decisions are based on actual grassroots productivity rather than extrapolated corporate success, potentially leading to more targeted social welfare schemes.

Responding to criticisms from former Chief Economic Advisor Arvind Subramanian, Garg emphasized that MoSPI is now utilizing the Annual Survey of Unincorporated Sector Enterprises (ASUSE) on a quarterly basis and the Periodic Labour Force Survey (PLFS) on a monthly basis. This eliminates the 'overhang' of outdated data and provides a real-time pulse of the informal economy.

"GDP is an estimation; when better data becomes available, estimates improve—it is not a matter of systematic bias or overestimation."

The Secretary also touched upon the technical shift toward using the Producer Price Index (PPI) for double deflation. While some critics questioned the stability of PPI data, Garg noted that the Ministry had conducted extensive experimental compilations through the Commerce Ministry to ensure the data's reliability before its official launch in June.

Historically, India has struggled with the 'informality trap,' where a vast majority of the workforce operates outside formal tax nets, making GDP calculation an art as much as a science. The current move toward empirical data marks a significant step toward international standards of national accounting.

FeatureOld Series (2011-12)New Series (2023-24)
Informal Sector DataProxy-based / ExtrapolatedEmpirical / Survey-based
Data SourcesDecadal Surveys & Corporate ProxiesASUSE (Quarterly) & PLFS (Monthly)
Price IndexWPI-centricPPI (Producer Price Index)
Did You Know?: The 'Double Deflation' method is a complex statistical process used to remove the effects of price increases from both the output and the input side to find the real volume of production.

Frequently Asked Questions

Q1: Does the lower nominal GDP mean the economy is shrinking?
No, it means the previous estimates were based on proxies that may have over-projected the informal sector's growth; the current numbers are more accurate reflections of reality.

Q2: What is the role of ASUSE in GDP calculation?
ASUSE provides direct empirical data on unincorporated enterprises, allowing MoSPI to measure the actual productivity of the informal sector instead of guessing based on corporate trends.