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(will be reviewed).

India’s Rural Job Program Boosted Local Output—But Not in Poorer Districts

🔎 Study Focus

The National Rural Employment Guarantee Scheme (NREGS) guarantees up to 100 days of paid rural work at the mandated minimum wage. The analysis evaluates whether this large-scale public-works program generated measurable aggregate economic gains at the district level in India.

📊 How the impact was measured

The design exploits the program's staggered rollout and tracks within-district changes to capture local responses over time. Key outcomes and data sources include:

  • Nighttime lights (used as a proxy for aggregate economic development)
  • Banking deposits (examined as an additional, complementary economic outcome)
  • Identification strategy based on staggered implementation across districts, comparing within-district changes before and after rollout

🔬 Key findings

  • NREGS is associated with a consistent, robust increase in aggregate economic output of about 1%–2% per capita as measured by nighttime lights.
  • The positive aggregate effect is uneven across districts: no evidence of a positive lighting response is found in poorer districts.
  • Banking deposits were examined alongside lights as an alternative indicator of economic activity (results summarized in the full analysis).

⚖️ Who benefited — and who didn't

The program raised measurable output on average, but those gains did not materialize uniformly. The absence of a detectable positive effect in poorer districts reveals an important source of heterogeneity in program impact.

💡 Why it matters

These results show that large public-works programs can generate modest aggregate gains, yet their benefits may bypass the poorest areas. The findings inform debates about the macroeconomic reach and targeting of employment guarantees and other public-works interventions.

Review of Economics and Statistics
Aggregate Effects from Public Works: Evidence from India was authored by C. Justin Cook and Manisha Shah. It was published in RESTAT in 2020. Find on Google Scholar10.1162/rest_a_00993
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