Featuring data from a cluster-randomized experiment involving 60,000 households in rural India, testing decentralized clean water treatment and home delivery. It measures household take-up, willingness-to-pay, willingness-to-accept, and self-reported health outcomes under varying price regimes.
Use Cases
- Estimate household willingness-to-pay for clean water delivery using experimentally recovered revealed-preference measures.
- Analyze the relationship between water delivery price and sustained take-up rates across 60,000 households.
- Assess the impact of clean water access on self-reported health measures within the experimental clusters.
- Compare cost-effectiveness of free water delivery regimes using cost-per-DALY calculations.
Strengths
- Data originates from a large-scale cluster-randomized experiment with 60,000 households.
- Experimental design allows for causal inference on water valuation and health impacts.
- Includes revealed-preference measures like willingness-to-pay and willingness-to-accept.
Limitations
- Sample data and specific column structure are unavailable for review.
- Geographic scope is limited to rural India, limiting generalizability to other contexts.
- The dataset's size, file formats, and license details are unspecified.
Provenance
- Source
- ICPSR Harvested Dataverse
- Collection Method
- Cluster-randomized experiment
- Time Range
- null
- Freshness
- null
- Geography
- Rural India