A new measure of state capacity developed using Bayesian latent variable analysis to address conceptual and measurement challenges in political science. The dataset is based on three interlinked core dimensions of state capacity, with demonstrated validity for a wide range of empirical inquiries. It was produced by Jonathan K. Hanson.
Use Cases
- Modeling the relationship between state capacity and economic development based on the three core dimensions.
- Analyzing the influence of state institutions on civil conflict using the general-purpose measure.
- Studying democratic consolidation as a function of estimated state capacity.
- Investigating international security outcomes based on the latent variable estimates.
Strengths
- Measure is based on three theoretically identified core dimensions of state capacity.
- Method uses Bayesian latent variable analysis to estimate capacity at the conjunction of indicators.
- Demonstrated validity for use in a wide range of empirical inquiries.
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
- Jonathan K. Hanson
- Collection Method
- Bayesian latent variable analysis applied to indicators related to three core dimensions of state capacity.