Advanced Economics of Strategy – Analytics Platform v 4.0
Welcome to Strategy Analytics Platform v4.0
0501750 Advanced Economics of Strategy
This enhanced platform implements the full empirical research pipeline using World Bank Enterprise Surveys (WBES) data, with advanced features:
- Smart Data Preprocessing: Intelligent filtering, validation, and transformation with quality checks
- Data Quality Dashboard: Real-time diagnostics and missing data analysis
- Interactive Spatial Mapping: Country-level aggregation with weighted statistics
- Comprehensive Strategy Evaluation: Full framework including diagnostics, tests, dominance analysis, and network visualization
- Advanced Causal Inference: ML-based Causal Forest, IPW, Doubly Robust estimation with diagnostics
- Copula Modeling (NEW): GJRM framework for bivariate/trivariate dependence modeling, selection models, and survival analysis
- Performance Optimizations: Progress tracking and efficient computation
- Analysis Activity Log: Track all operations with session statistics
Quick Start Guide:
- Upload your WBES dataset or load sample data
- Review data quality metrics in the Data Quality tab
- Preprocess: select variables, filter, and transform
- Perform spatial mapping and strategy evaluation
- Run causal inference analysis
- Use copula modeling for dependence structures
- Export results and reports
Data Quality Dashboard
Comprehensive data quality metrics and diagnostics for your dataset
Missing Data Analysis
Variable Type Distribution
Variable-Level Quality Metrics
Data Quality Recommendations
Data Summary
Current data:
Quality Score:
Variable Selection & Filtering
Recoding & Custom Mutations
Variable Transformation
Mapping Settings
Interactive Map
Strategy Selection
Analysis Options
Advanced Settings
Causal Inference Analysis – Settings
Purpose
Estimate causal effects of strategies on outcomes, moving beyond correlation to identification.
Supports classic econometric methods and modern ML (Causal Forest).
Copula Modeling with GJRM
Purpose
Model complex dependence structures, selection models, and survival analysis using copulas.
Supports bivariate/trivariate models with various marginal distributions and copula families.
Model Type & Equations
Important Ordering Notes
- For selection models (BSS/TSS/TESS), first equation(s) are selection.
- Binary before continuous/discrete when mixed.
- Discrete before continuous when mixed.
Equation 1
Equation 2
Equation 3
Advanced Formula Mode
Formula Previews
Equation 1
Equation 2
Equation 3
Marginal Distributions
Copula Specification
Estimation Options
Download Results
Export Processed Data
Export Analysis Results
Export All Results
All outputs preserve original research naming for full reproducibility.
Analysis History & Activity Log
Track all actions performed during the analysis session