90 semi-structured interviews with firms, lawyers, and private security agencies were conducted in 2009, supplemented by 20 follow-up interviews in 2014 and 36 supplementary interviews. Jordan Gans-Morse created this mixed-methods dataset, which includes an original survey of Russian firms and qualitative interview transcripts, to study the demand for law and property rights security.
Use Cases
- Analyzing changes in firm property security strategies based on qualitative interview evidence
- Studying causal mechanisms linking ownership consolidation to property rights based on described qualitative analyses
- Correlating explanatory variables with outcomes using the original firm survey data
- Examining descriptive statistics on caseloads and survey results from other scholars cited in the annotations
Strengths
- Mixed-methods approach combining formal modeling, quantitative analysis, and qualitative analysis
- 90 initial interviews plus 56 follow-up and supplementary interviews provide longitudinal depth
- 53 of the 90 initial interviews were audio-recorded and fully transcribed
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Data may reflect temporal bias inherent to interviews conducted primarily in 2009 and 2014
Provenance
- Source
- Jordan Gans-Morse via QDR Harvested Dataverse
- Collection Method
- Original survey of Russian firms and semi-structured interviews with firms, lawyers, private security agencies, journalists, association representatives, academics, and NGOs
- Time Range
- Interviews conducted in 2009 and 2014
- Freshness
- Last updated 2025-10-20 19:59:20; freshness should be verified
- Geography
- Post-Soviet Russia