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.