1. Home
  2. Explained
  3. GS Paper 3
  4. Economy

The Pitfalls of Estimating GDP: A Cautionary Tale for Using GST Data


Introduction

India’s Gross Domestic Product (GDP) is set for a revision, with the base year expected to change from 2011-12 to 2020-21. A key consideration in this revision is whether to incorporate Goods and Services Tax (GST) data for estimating value addition, replacing the Ministry of Corporate Affairs’ MCA-21 database for the Private Corporate Sector (PCS). This shift could bring major implications for the accuracy and credibility of India’s GDP estimates, making it a timely issue for scrutiny.

Gross Domestic Product (GDP)

  • GDP is one of the most critical metrics for assessing a country’s economic size and health.  It serves as a universal benchmark for comparing economic indicators across nations and regions.
  • Since GDP is usually measured at “constant” prices—i.e., real GDP, adjusted for price changes—it requires frequent revisions to reflect changes in the economy. This is achieved by changing the base year, which happens roughly every 5-10 years.
  • The current GDP series, with a base year of 2011-12, is up for revision, and 2020-21 has been proposed as the new base year. While most necessary datasets are available, the Census data has yet to be released.
  • One significant change being considered by the National Statistical Office (NSO) is replacing the MCA-21 data with GST data to estimate value-added contributions from the private corporate sector.
  • However, given the challenges experienced in the previous base year revision, this shift must be approached cautiously.

Why Shift to GST Data?

  • In the previous revision, the NSO moved from relying on the Annual Survey of Industries (ASI) and RBI’s sample of large companies to the MCA-21 database for GDP estimation. This was done to address gaps in capturing value-added contributions outside traditional factory premises and to account for the growing PCS.
  • However, the shift to MCA-21 led to discrepancies in GDP estimates, particularly in manufacturing growth. For instance, while the previous GDP series showed a negative growth rate for manufacturing in 2013-14, the new series based on MCA-21 data suggested a positive growth of 5.4%, raising widespread concerns about overestimation.

Systematic Overestimation Concerns

  • Further analysis comparing the Gross Value Added (GVA) and Gross Fixed Capital Formation (GFCF) in manufacturing, as per the National Accounts Statistics (NAS) and the ASI, revealed systematic overestimation in NAS figures.
  • From 2012-13 to 2019-20, NAS showed an average annual GVA growth rate of 6.2%, while ASI data suggested a much lower 3.2%. Similarly, NAS reported a GFCF growth of 4.5%, while ASI showed a mere 0.3%.
  • These discrepancies point to possible flaws in the MCA-21 dataset, raising doubts about the reliability of current GDP estimates.

The Risks of Using GST Data

  • Given the concerns raised during the last revision, the proposed shift to GST data for GDP estimation must be handled carefully.
  • Although GST data is vast and regularly updated, it has not been thoroughly analyzed or cross-validated for its suitability in estimating value addition across industries, sectors, and regions.
  • Using an unverified dataset could lead to similar, or even more severe, discrepancies than those experienced with MCA-21.

A Way Forward

  1. Before incorporating GST data, the NSO must conduct pilot studies to validate its reliability for specific sectors and states.
  2. Additionally, systematic analyses and cross-validation by independent agencies should be prioritized to ensure the accuracy of GDP estimates.
  3. Alternatively, the NSO could consider reverting to the ASI for estimating manufacturing GDP, as its database now comes with a shorter time lag.
  4. While GST data holds the potential to transform GDP estimation, it is imperative that the NSO avoids rushing into untested methodologies.
  5. Rigorous testing and transparency are essential to instill confidence in the GDP figures and safeguard the integrity of India’s national accounts.
Goldar Committee to Revise GDP Base Year The Ministry of Statistics and Programme Implementation (MoSPI) has set up a 26-member Advisory Committee on National Accounts Statistics (ACNAS) to revise the base year for India’s national accounts.The committee is headed by Bishwanath Goldar. The new base year being considered is 2020-21.A base year is used as a reference to track economic trends and compare changes in indicators over time. Updating the base year ensures that the data reflects the current economy, including shifts in spending patterns, sector changes, and new industries.The base year for important measures like the Index of Industrial Production (IIP), Wholesale Price Index (WPI), and National Income is 2011-12. Base years for major indices Consumer Price Index (CPI): 2012  , Wholesale Price Index (WPI): 2011-12  , Index of Industrial Production (IIP): 2011-12  National Accounts: 2011-12 Committee’s responsibilities The committee will recommend methods for preparing and presenting national accounts, adjust quarterly data for seasonal changes, promote research, and update India’s practices to align with global standards.The committee will serve for five years or until the base year revision is completed. Key members of the committee  Important members include G C Manna (former Director-General of the CSO), Chetan Ghate (Institute of Economic Growth), and Partha Ray (NIBM, Pune), along with other experts. MCA 21 database This database automates the process of ensuring companies comply with the Companies Act, 1956. It provides a secure way for citizens, professionals, and corporate entities to access MCA services. The MCA 21 database contains company master data, such as the company’s incorporation date, registration number, address, and more. GST database The Indian government uses GST data to ensure tax compliance, streamline tax collection, and identify potential tax evasion. The GST database provides a comprehensive view of a business’s profile, financial activities, and operational health. Producer Price Index (PPI) The Department for Promotion of Industry and Internal Trade (DPIIT) is finalizing a model to introduce a Producer Price Index (PPI) in India, which could eventually replace the Wholesale Price Index (WPI). This move aligns with practices followed by most G20 countries and international standards. Key Recommendations of the Goldar Committee: Develop an Experimental PPI: Use 2011-12 as the base year, and include export and import prices of major items in the PPI basket during the trial phase.Two Sets of Indices: The experimental series should have two versions—one including services and one without services.Switch from WPI to PPI: The transition from WPI to PPI should happen only after the PPI series becomes stable.

Conclusion

Accurately estimating GDP is crucial for understanding a country’s economic health and guiding policymaking. As India prepares to revise its GDP base year, the shift from MCA-21 to GST data could offer improved coverage, but it must be approached with caution. Adequate validation, transparency, and careful cross-checking are necessary to avoid the pitfalls of overestimation and ensure that India’s economic picture remains reliable and accurate.

Subject:

Get free UPSC Updates straight to your inbox!

Get Updates on New Notification about APPSC, TSPSC and UPSC

Get Current Affairs Updates Directly into your Inbox