A study by Matias D. Cattaneo of the University of Michigan investigates the causal impact of a large-scale Mexican Government program to replace dirt floors with cement floors. The research measures effects on child health indicators like parasitic infestations, diarrhea, and anemia, as well as adult welfare metrics including satisfaction, depression, and stress. The dataset likely contains tabular data from this causal impact evaluation.
Use Cases
- Causal inference modeling based on housing improvement program participation.
- Analyzing child health outcomes based on reported incidences of parasitic infestations, diarrhea, and anemia.
- Measuring adult psychological welfare based on depression and perceived stress scale scores.
- Evaluating program impact on housing satisfaction and quality of life metrics.
Strengths
- Data originates from a large-scale government intervention program, suggesting a substantial sample.
- Study design focuses on causal impact, implying structured treatment and control group data.
- Measures multiple concrete health and well-being outcomes as described in the paper.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- University of Michigan research by Matias D. Cattaneo.
- Collection Method
- Likely gathered from surveys and health measurements during a Mexican Government housing improvement program.
- Time Range
- null
- Freshness
- null
- Geography
- Mexico