CSRI: Your Permit Forecast
We combine nationality, county, sector, and company signals into one predictive score.
includes all years by default
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Step 1: Base Rate
Step 2: Demand Adjustment
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Model Assumptions
- \[\text{Base Rate} = \frac{ (\text{Nationality Success Rate} \times \text{Nationality Weight}) + (\text{County Success Rate} \times \text{County Weight}) }{ \text{Total Volume} }\]
- \[\text{Demand Factor} = 0.70 + 0.30 \times \frac{ \text{vol of issued Permits for target Sector} - \text{lowest vol of issued Permits for all Sectors} }{ \text{highest vol of issued Permits for all Sectors} - \text{lowest vol of issued Permits for all Sectors} }\]
- \[\text{Demand Index} = \frac{ \text{Sector Demand Factor} + \text{Company Demand Factor} }{ 2 }\]
- \[\text{CSRI Score} = (0.7 \times \text{Base Rate}) + (0.3 \times \text{Demand Index})\]
- Total Application Volume (W) is treated as the primary indicator of data reliability and influence.
- Historical success rates (2009–present) are considered predictive of current outcomes.
- Issued Permits reflect labor demand and institutional expertise (higher volume implies higher future success).
- Minimum demand is anchored to the National Average Success Rate (approx. 0.70), not zero.
- Base Rate is weighted 70% more than the Demand Adjustment to reflect confidence in known data.
- Company and Sector Demand are assumed to contribute equally (50/50) to the Demand Index.