The Role of National Sample Survey Data in Compiling Indian National Accounts Statistics: Uses, Challenges and Enhancements

Abstract

This paper offers a detailed examination of the integral role played by National Sample Survey (NSS) data in the compilation of Indian National 
Accounts Statistics (NAS). Conducted by the National Sample Survey Office (NSSO), NSS surveys - such as the Household Consumption Expenditure 
Survey (HCES, formerly CES), Periodic Labour Force Survey (PLFS, succeeding EUS), Enterprise Surveys (ES), and All-India Debt and Investment 
Survey (AIDIS) - are essential for estimating key macroeconomic aggregates, including Gross Value Added (GVA), Private Final Consumption 
Expenditure (PFCE), Gross Capital Formation (GCF), and household savings, particularly within the informal sector that dominates India’s economy. 
The analysis delineates methodologies like the LabourInput (LI) method, Effective LabourInput (ELI) method, and nested Cobb-Douglas production 
functions for deriving value added per worker (VAPW). It also addresses persistent challenges, including survey periodicity, coverage gaps, data 
discrepancies, and sampling errors, while proposing strategies for improvement, such as increased frequency, data harmonization, and integration 
with emerging data sources like Goods and Services Tax (GST) records and digital platforms. A case study on the 2011-12 base year revision 
illustrates NSS’s practical impact, and recent developments, including the new surveys like the Annual Survey of Unincorporated Sector Enterprises 
(ASUSE) and HCES 2022-23, underscore its evolving relevance. Insights from seminal studies (e.g., Kulshreshtha et al., 2002;  Kulshreshtha and 
Singh, 1995;  Kar et al., 2003) are synthesized to provide a robust framework for policymakers, statisticians, and researchers aiming to refine NAS 
compilation in India and similar emerging economies.