acst152 2015 lecture 3c life tables introduction

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ACST152 Introduction ACST152 Introduction to Actuarial Studies to Actuarial Studies Lecture 3C 2015 The Life Table

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Page 1: ACST152 2015 Lecture 3C Life Tables Introduction

ACST152 Introduction to ACST152 Introduction to Actuarial StudiesActuarial StudiesLecture 3C 2015The Life Table

Page 2: ACST152 2015 Lecture 3C Life Tables Introduction

The Life TableThe Life TableA Life Table is used to work out

probabilities of survival and death for a given population

Let l0 be number of people born(assumed to be say 100,000)

lx = number of people alive at exact age x

Page 3: ACST152 2015 Lecture 3C Life Tables Introduction

The Australian Life TablesThe Australian Life TablesAustralian Life Tables (ALT) are

published by the Australian Government Actuary, based on census data of Australian population

Updated at regular intervals. Current version is 2005/2007 (ALT 2005/07)

Separately for males and females

Page 4: ACST152 2015 Lecture 3C Life Tables Introduction

Probability of survival : one Probability of survival : one yearyear

xageatalivenumberxageatalivenumber

llp

x

xx

11

Example: Use the Australian Life Table 2005-2007 for Males

Q. What is the probability that a male age 20 survives 1 year?

Q. What is the probability that a female aged 20 survives 1 year ?

Page 5: ACST152 2015 Lecture 3C Life Tables Introduction

Probability of survival Probability of survival exampleexampleMales l20 = 99008 and l21 =

98935 so p20 = 0.99926

Females l20 = 99272 and l21 = 99244

So p20 = 0.99972

Page 6: ACST152 2015 Lecture 3C Life Tables Introduction

Number of deathsNumber of deathsThe number of deaths between exact

age x and exact age x+1 is denoted dx.

◦dx = number alive at age x exact - number alive at age x+1 exact

dx = lx - lx+1

Page 7: ACST152 2015 Lecture 3C Life Tables Introduction

One year Probability of One year Probability of deathdeath.The probability that someone

aged exactly x will die before age x+1 is denoted qx

xxx

xx

x

xxx

x

xx pqor

llqor

lllqor

ldq

11 11

Page 8: ACST152 2015 Lecture 3C Life Tables Introduction

Example: Probability of Example: Probability of deathdeathExample: Use the Australian Life

Table 2005-2007 for Males

Q. What is the probability that a male age 20 exactly dies within 1 year?

What about a female aged 20?

q20 males = 1-p20 = 1 - 0.99926 = 0.00074

q20 females = 1 - 0.99972 = 0.00028

Page 9: ACST152 2015 Lecture 3C Life Tables Introduction

Probability of surviving t Probability of surviving t yearsyears

Example: What is probability that a person (M of F) aged 20 will survive to age 65?

Male 86931/99008 = 0.87802Female 91526 / 99272 = 0.92197

xageatalivenumbertxageatalivenumber

llp

x

txxt

Page 10: ACST152 2015 Lecture 3C Life Tables Introduction

Probability of dying in a Probability of dying in a specified age rangespecified age range

Q. What is the probability that a person aged x exactly will die between age x+t and x+s?

xageatalivenumbersxandtxagebetweendiewhonumber

x

sxtx

lll

Page 11: ACST152 2015 Lecture 3C Life Tables Introduction

Example:Example:What is the probability that a

person aged 20 will die between age 55 and 65? (Male & Female)

Male = 0.06581Female = 0.04069

Page 12: ACST152 2015 Lecture 3C Life Tables Introduction

Life ExpectancyLife ExpectancyLet Tx be a random variable which

represents the time until death for a person aged x exactly.

The expected value of Tx is called the life expectancy and is denoted as

E(Tx) =

oxeo

xe

Page 13: ACST152 2015 Lecture 3C Life Tables Introduction

Calculation of Life Calculation of Life ExpectancyExpectancyLet’s assume people die in the

middle of the year on average. For a person now aged x,◦ If he dies between x and x+1, Tx = ½◦ If he dies between x+1 and x+2, Tx = 1.5◦ If he dies between x+2 and x+3, Tx = 2.5◦ ...◦ If he dies between x+t and x+t+1, Tx =

(t+0.5)

Page 14: ACST152 2015 Lecture 3C Life Tables Introduction

Expected Value of TExpected Value of Txx

xw

tx txandtxbetweenDiesPtTE

0

)1()5.0()(

xw

t x

txtxx l

lltTE0

1)5.0()(

Page 15: ACST152 2015 Lecture 3C Life Tables Introduction

Life Expectancy ExampleLife Expectancy ExampleYou own a newborn mouse.Suppose that the life table for the

mouse is given below

If deaths occur at mid year on average, what is E(T)?

Age x lx dx0 100 201 80 402 40 303 10 104 0

Page 16: ACST152 2015 Lecture 3C Life Tables Introduction

E(T) = 0.5 * 20/100

+ 1.5 * 40/100+ 2.5 * 30/100+ 3.5 * 10/100

= 1.8 years

Page 17: ACST152 2015 Lecture 3C Life Tables Introduction

Shortcut formula for Life Shortcut formula for Life expectancyexpectancy

...5.25.15.0)( 32211

x

xx

x

xx

x

xxx l

lll

lllllTE

...)(*5.2)(*5.1)(*5.01)( 32211 xxxxxxx

x lllllll

TE

...*5.01)( 321 xxxxx

x lllll

TE

...15.0)( 321 xxxx

x llll

TE

Page 18: ACST152 2015 Lecture 3C Life Tables Introduction

Mouse example : shortcutMouse example : shortcutQ. Repeat mouse example using

shortcut formula

E(T0) = 0.5 + [80+40+10] / 100= 1.8 years

Page 19: ACST152 2015 Lecture 3C Life Tables Introduction

Tute exerciseTute exerciseOn a spreadsheet, use the above

formula to calculate male and female life expectancy at age 20, and confirm that this matches the ALT expectation of life at that age. (Note ALT tables are on iLearn in spreadsheet format)

Page 20: ACST152 2015 Lecture 3C Life Tables Introduction

Life expectancy in ALTLife expectancy in ALTThe life expectancies at older ages in

the Government Actuary’s tables are slightly higher than those we would calculate using our formula.

Our formula assumes everyone is dead at age 110.

It appears that the Australian Govt Actuary has allowed for a small probability of survival past age 110.

Page 21: ACST152 2015 Lecture 3C Life Tables Introduction

Iterative formula for E(TIterative formula for E(Txx))Q. Suppose our mouse has a life expectancy

of 1.8 years when new born.A year later, will its life expectancy be 0.8

years ?

A. No, it will be higher than 0.8E(T1) = 0.5 + [40 + 10]/80

= 1.125 Tute exercise: Explain why.

Page 22: ACST152 2015 Lecture 3C Life Tables Introduction

Iterative formulaIterative formulaTute exercise: Show mathematically

and by general reasoning that

◦ ex= ½ + px (1/2 + e x+1)

Hence if Joe (male) has a life expectancy of 40.71 at age 40, and p40 = 0.99855 and p41 = 0.99846 find the life expectancy at age 41 and 42.

Page 23: ACST152 2015 Lecture 3C Life Tables Introduction

Answers to Example40.71 = ½ + 0.99855(1/2+e41)

e41= 39.77

39.77 = ½ + 0.99846(1/2+e42) e42 = 38.83

[Note with repetition of iterative formula, rounding off can lead to an accumulation of errors.]

Page 24: ACST152 2015 Lecture 3C Life Tables Introduction

Multiple LivesMultiple LivesSometime we want to find

probabilities involving multiple lives:◦What is the probability that both Joe and

Mary are still alive in t years?◦If there are three people A B and C alive

now, what is the probability that exactly one person is alive in t years ?

◦If there are two people alive now (A and B), what is the probability that A dies first?

Page 25: ACST152 2015 Lecture 3C Life Tables Introduction

Probability RulesProbability RulesIf A and B are independent eventsP(A and B) = P(A) * P(B)

If A and B are independent eventsP(A or B) = P(A) + P(B) – P(A and B)

• If A and B are independent events• P(Exactly one of A and B) • = P(A) * [1-P(B)] + P(B) * [1-P(A)] • = P(A) + P(B) – 2 P(A) P(B)

Page 26: ACST152 2015 Lecture 3C Life Tables Introduction

Example: Multiple LivesExample: Multiple LivesJoe is age 21 and Bill is age 23

when they graduate Uni.What is the probability that both

are alive for their 40th reunion ?Use ALT 05/07 rates (male)

Page 27: ACST152 2015 Lecture 3C Life Tables Introduction

AnswerAnswerThe probability that Joe is alive = P(J)P(J) = l61/l21 = 90269/98935 The probability that Bill is alive = p(B)P(B) = l63/l23 = 88756/98784

Assuming independence,P(Both alive) = P(J) * P(B) = 0.81978

Page 28: ACST152 2015 Lecture 3C Life Tables Introduction

Example: Multiple LivesExample: Multiple LivesA superannuation fund is required

to pay pensions to ex-employees and their spouses.◦If both husband and wife are alive at

year end, then pay $10,000◦If only one is alive, pay $7,000

Joe is age 65; his wife Mary is 60.Q. What is the expected value of

the payment due at the end of the year?

Page 29: ACST152 2015 Lecture 3C Life Tables Introduction

AnswerAnswerThe probability that Joe is alive = P(J)P(J) = l66/l65 males = 0.98800The probability that Mary is alive = P(M)P(M) = l61/l60 females = 0.99565Assuming independence,P(Both alive) = P(J) * P(M) = 0.98370P(J alive and M dead) = P(J) * [1-P(M)] = 0.00430P(M alive and J dead) = P(M) * [1-P(J)] = 0.01195Expected value of payments = 10000*0.9837 + 7000 *(0.00430+0.01195)= 9951

Page 30: ACST152 2015 Lecture 3C Life Tables Introduction

Tute ExerciseTute ExerciseIf there are three people A, B,

and CAnd P(A), P(B) and P(C) are the

probabilities that each one is alive in one year,

What is the probability that exactly one is alive at the end of the year?

Page 31: ACST152 2015 Lecture 3C Life Tables Introduction

Binomial DistributionBinomial Distribution If you have a group of people who all have

the same probabilities of death, then you can use the binomial distribution.

Example: There are 10 males all age 60 now. (a) What is the probability that all are still

alive at age 70? (b) What is the probability that just one

person has died before reaching age 70?

Page 32: ACST152 2015 Lecture 3C Life Tables Introduction

AnswersAnswers