Actuarial Notes

CAS Exam MAS-I Spring 2019, Question 39

Study guide: Exam MAS-I

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

Below are the results for all possible models:

Model # of Non Intercept Parameters Parameters R^2 AIC
1 0 I 0 1.9
2 1 I, 1 0.56 1.4
3 1 I, 2 0.57 1.2
4 1 I, 3 0.55 1.6
5 1 I, 4 0.52 1.7
6 1 I, 5 0.51 1.8
7 2 I, 1, 2 0.61 1.0
8 2 I, 1, 3 0.64 0.5
9 2 I, 1, 4 0.63 0.8
10 2 I, 1, 5 0.69 0.0
11 2 I, 2, 3 0.61 1.0
12 2 I, 2, 4 0.62 0.9
13 2 I, 2, 5 0.68 0.2
14 2 I, 3, 4 0.66 0.4
15 2 I, 3, 5 0.64 0.5
16 2 I, 4, 5 0.60 1.1
17 3 I, 1, 2, 3 0.73 1.3
18 3 I, 1, 2, 4 0.71 1.5
19 3 I, 1, 2, 5 0.72 1.4
20 3 I, 1, 3, 4 0.75 1.0
21 3 I, 1, 3, 5 0.76 0.8
22 3 I, 1, 4, 5 0.79 0.2
23 3 I, 2, 3, 4 0.78 0.6
24 3 I, 2, 3, 5 0.74 1.2
25 3 I, 2, 4, 5 0.75 1.1
26 3 I, 3, 4, 5 0.73 1.3
27 4 I, 1, 2, 3, 4 0.88 1.6
28 4 I, 1, 2, 3, 5 0.80 2.1
29 4 I, 1, 2, 4, 5 0.87 1.8
30 4 I, 1, 3, 4, 5 0.83 2.0
31 4 I, 2, 3, 4, 5 0.85 1.9
32 5 I, 1, 2, 3, 4, 5 0.90 3.5
  • \text{AIC}_j is the AIC of the model chosen by Actuary j

Determine the correct ordering of the AIC values of the three selected models.

  • A) \text{AIC}_A < \text{AIC}_B < \text{AIC}_C
  • B) \text{AIC}_A = \text{AIC}_B < \text{AIC}_C
  • C) \text{AIC}_A < \text{AIC}_C < \text{AIC}_B
  • D) \text{AIC}_A = \text{AIC}_C < \text{AIC}_B
  • E) The answer is not given by (A), (B), (C) or (D)

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