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Rethinking India’s Employment Data Architecture

Following the recommendations of the task force set up to revamp the employment data architecture, India’s employment statistics are undergoing significant revision. The effort is largely directed at producing real-time high-frequency data in the formal sector. However, given that employment is dominated by low-wage and low-productivity jobs in the unorganised sector, this exercise will serve little purpose and only deflect attention from the enormity of the employment challenge.

Inequality Matters

If economic growth was the only factor that mattered for poverty reduction, we should have witnessed greater poverty reduction. Also, states with the highest growth rate should have performed the best in terms of poverty reduction. The pace of poverty reduction is influenced both by changes in income distribution over time and by the shape of the initial distribution. This empirical analysis shows that the task of poverty reduction in India is seriously challenged by rising inequality. In addition to the one-shot instant impact on poverty from a pure redistribution effect, improvements in distribution of income have a long-run effect derived from an increase in the growth elasticity of poverty. This gives us a strong case for prioritising distribution and making income distribution more equal before embarking on a high growth path.
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