I. Statistical Discrepancies in GDP Data : Evidence from India
Statistical Discrepancies (SDs) in the measurement of gross domestic product (GDP) is an empirical challenge worldwide. In India’s GDP data, SDs have been both large and volatile but with the rebasing of national accounts to 2011-12, along with improved coverage and refinements in methodology, measurement errors have reduced. Examining India’s experience, this article recommends that the Central Statistics Office (CSO) may consider using supply-use tables for reconciliation of SDs going forward.
Major highlights of the article are as follows:
In the Indian context, SDs are a combination of discrepancies in (i) national disposable income and its appropriation account, (ii) the capital finance account, and (iii) the external transactions account. As a practice, consolidated discrepancy is reported in GDP on the expenditure account.
As a share to GDP, SDs are larger in constant prices as compared to current prices.
SDs are larger in quarterly GDP than in annual GDP.
In the recent period, the size of SDs in GDP has consistently declined indicating the sustained endeavour of CSO to improve data quality.
A comparison of SDs in advance estimates of GDP with final revised estimates show that SDs in the latter are higher in absolute terms.