Yearly Philippine regional panel data aggregates approved foreign direct investment with socio-economic and environmental factors. The dataset, created by Robi Castaneda and hosted on Harvard Dataverse, includes measures of corruption perception, distance from Manila, urbanization, human development index scores, and net typhoon damage. It was last updated on July 15, 2026.
Use Cases
- Modeling the influence of corruption perception on foreign direct investment inflows.
- Analyzing the impact of typhoon damage on regional economic development metrics.
- Investigating the relationship between urbanization, human development, and investment approval rates.
Strengths
- Data is structured as a yearly panel, enabling longitudinal analysis across Philippine regions.
- Integrates multiple data domains including economic investment, governance perception, and environmental disaster impact.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Aggregated from secondary sources.
- Freshness
- Last updated 2026-07-15 02:59:49; freshness should be verified.
- Geography
- Philippines, regional level