Introduction:
Differences in methodologies and data generation techniques are not uncommon when it comes to quantifying economic and social indicators. This article highlights the need for India to upgrade its statistical system, address data gaps, and work towards influencing cross-country comparisons.
Fiscal Deficit Calculation: Bridging Methodological Differences
Methodological disparities, such as the variance between the Comptroller and Auditor General (CAG) and the Finance Ministry's calculation of the Government of India's (GOI) fiscal deficit, are not unusual. One contributing factor is the accounting treatment of expenses like bank recapitalization bonds. Both estimates hold value, and GOI's critique of methodologies does not render cross-country comparisons irrelevant.
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Indigenous Benchmarks for Child Stunting: Balancing Local and International Standards
The Economic Advisory Council's (EAC) paper advocates for "indigenous benchmarks" over World Health Organization (WHO) standards in estimating child stunting. While GOI rightly critiques some aspects of cross-country methodologies, standardized metrics are essential for meaningful comparisons. Incorporate
Data Quality Challenges: Addressing Gaps in India's Data Generation
India faces significant challenges in data generation, with gaps and deficiencies across various sectors. Poor data quality led to the discarding of a crucial survey on national consumption expenditure. Upgrading the statistical system and addressing these gaps must become a priority.
Female Workforce Participation: Improving Measurement Approaches
India's female workforce participation rate is lower than the global average and lags behind many Southeast Asian countries. The EAC paper criticizes GOI statisticians for not promptly incorporating suggested changes from the International Labour Organization (ILO). India needs to enhance measurement approaches and align with international standards for accurate cross-country comparisons.
Influencing Cross-Country Data Institutions: Leveraging India's Global Position
With a seat at the global high table, India should actively work on influencing institutions that generate and utilize cross-country data. However, achieving this objective necessitates a robust domestic statistical system that can produce reliable and standardized data.
Conclusion:
To improve India's data generation and influence cross-country comparisons, it is imperative to address gaps in the statistical system and enhance measurement methodologies. With an upgraded statistical system and active participation in global data institutions, India can strengthen its position and contribute meaningfully to cross-country comparisons in various economic and social spheres.
