CAS Exam 8 Fall 2017, Question 1
Study guide: Exam 8
An actuary has constructed a pure premium model using the Tweedie distribution with parameter 1 < p < 2 to determine manual rates for a Workers' Compensation book of business. The output of the model is pure premium per $100 of payroll.
The following variables were considered for inclusion in the model:
| Variable | Description or Source of Data | p-value |
|---|---|---|
| Industry | Construction, Manufacturing, All Other | 0.002 |
| Return to Work Program | Yes or No | 0.008 |
| Employee Age | Average Age in Years | 0.003 |
| Employee Tenure | Average Number of Years of Employment | 0.005 |
| Location | State of Jurisdiction | 0.080 |
| Employee Morale | Based on Results of Annual Company Survey | 0.150 |
| Number of Back Injuries | Supplied by Employer | 0.010 |
The actuary has decided to use the following variables in the model: Industry, Employee Tenure, and Return to Work Program.
Part a (1.5 points)
Discuss the statistical and non-statistical considerations of including each of the three variables (Industry, Employee Tenure and Return to Work Program) in the model.
Part b (2 points)
Discuss the statistical and non-statistical considerations of excluding each of the remaining four variables (Employee Age, Location, Employee Morale and Number of Back Injuries) from the model.
Part c (1.5 points)
The actuary fits the log link GLM model using the three selected variables. Given the fitted model parameters below and the following information for a Manufacturing Workers' Compensation risk, calculate the standard premium for this risk for an annual policy period.
| Parameter | Coefficient |
|---|---|
| Intercept | -0.631 |
| Employee Tenure | -0.040 |
| Return to Work Program: Yes | -0.200 |
| Industry Type: Construction | 0.350 |
| Industry Type: All Other | -0.550 |
| Data for Manufacturing Risk | Value |
|---|---|
| Payroll | $1,000,000 |
| Employee Tenure | 5 Years |
| Return to Work Program | No |
| Actual Losses for Experience Rating | $12,500 |
| Fixed Expenses | $1,500 |
| Variable Expenses (as % of premium) | 20% |
| Experience Rating Constant (K) | $10,000 |
Part d (1.5 points)
The actuary has graphed actual vs. modeled expected loss ratios by size of risk for the company's entire Workers' Compensation book, which is shown below.
In order to improve the model fit for larger risks, the actuary is considering incorporating the variable "Latest 3 Year Historical Losses" into the model. Explain three reasons against doing so.
Part e (2 points)
The actuary is now developing a quote for a new Construction risk with $50,000,000 of payroll using this rating plan.
- i. (1 point) Describe two potential issues in developing a premium for this risk under this rating plan.
- ii. (1 point) Provide an alternative rating approach for this risk and briefly discuss the advantages of this alternative for the insured as well as the insurance company.
Answer this question and see the worked solution
Concepts tested
- Variable Selection
- Generalized Linear Model
- Tweedie Distribution
- Experience Rating
- Statistical Significance
- Rating Variable