Services
Advanced Analytics & Forecasting
We pick methods to match the decision: causal inference where identification is credible, prediction where targeting dominates, and discrete choice experiments when preferences drive uptake. Code and documentation are structured for handover to your analytics team.
What we deliver
- Panel and spatial econometrics for program impact and spillovers
- Forecasting pipelines for prices, yields, or demand under climate scenarios
- Machine learning for segmentation, fraud risk, or early warning signals
- Conjoint and choice experiments for product and policy design
Typical outputs
- Reproducible analysis repositories (Stata/R/Python as agreed)
- Model cards describing data, validation, and limitations
- Sensitivity tables for leadership review