Actuarial Notes

CAS Exam MAS-I Fall 2018, Question 39

Study guide: Exam MAS-I

Two actuaries were given a dataset and asked to build a model to predict claim frequency using any of 5 independent predictors \{1, 2, 3, 4, 5\} as well as an intercept \{I\}.

  • Actuary A chooses their model using Best Subset Selection
  • Actuary B chooses their model using Forward Stepwise Regression
  • When evaluating the models they both used R-squared to compare models with the same number of parameters, and AIC to compare models with different numbers of parameters.

Below are statistics for all candidate models:

Model # of Non Intercept Parameters Parameters R^2 Log-likelihood
1 0 I 0 0.05
2 1 I, 1 0.56 1.3
3 1 I, 2 0.57 1.4
4 1 I, 3 0.55 1.2
5 1 I, 4 0.52 1.15
6 1 I, 5 0.51 1.1
7 2 I, 1, 2 0.61 2.5
8 2 I, 1, 3 0.64 2.75
9 2 I, 1, 4 0.63 2.6
10 2 I, 1, 5 0.69 3
11 2 I, 2, 3 0.61 2.5
12 2 I, 2, 4 0.62 2.55
13 2 I, 2, 5 0.68 2.9
14 2 I, 3, 4 0.66 2.8
15 2 I, 3, 5 0.64 2.75
16 2 I, 4, 5 0.6 2.45
17 3 I, 1, 2, 3 0.73 3.35
18 3 I, 1, 2, 4 0.71 3.25
19 3 I, 1, 2, 5 0.72 3.3
20 3 I, 1, 3, 4 0.75 3.5
21 3 I, 1, 3, 5 0.76 3.6
22 3 I, 1, 4, 5 0.79 3.9
23 3 I, 2, 3, 4 0.78 3.7
24 3 I, 2, 3, 5 0.74 3.4
25 3 I, 2, 4, 5 0.75 3.45
26 3 I, 3, 4, 5 0.73 3.35
27 4 I, 1, 2, 3, 4 0.88 4.2
28 4 I, 1, 2, 3, 5 0.8 3.95
29 4 I, 1, 2, 4, 5 0.87 4.1
30 4 I, 1, 3, 4, 5 0.83 4
31 4 I, 2, 3, 4, 5 0.85 4.05
32 5 I, 1, 2, 3, 4, 5 0.9 4.25

\text{AIC}_j is the AIC of the model chosen by Actuary j.

Calculate the absolute value of the difference between \text{AIC}_A and \text{AIC}_B.

  • A) Less than 0.15
  • B) At least 0.15, but less than 0.30
  • C) At least 0.30, but less than 0.45
  • D) At least 0.45, but less than 0.60
  • E) At least 0.60

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