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Smartphone ownership in Australia increased from 11.1 million on 30 June 2013 to 15.3 million by the end of 2015. Assuming that Australian smartphone ownership will continue to expand at the same rate as it did between 2013 and 2015, calculate: Total smartphone ownership in Australia at the end of 2020. [5 marks]
In order to estimate smartphone ownership in Australia, we need to develop a prediction equation. We’d need to figure out the intercept for the equation as well as the rate or slope.
The intercept represents the initial smartphone ownership at the start of the prediction period. As a result, intercept = 11.1 million. To determine the rate of increase, we need to divide the increase in smartphone ownership by the length of time in months.
Increase in smart phone ownership = 15.3m – 11.1m = 4.2 million
Time = 5/2 years = 30 months
Rate = 4.2 million/30 = 140,000
Equation: Smartphone ownership = 11.1 million + 140,000 X where X is the number of months after 30th June 2013.
To determine the total smartphone ownership by the end of 2020 we need to determine the number of months first. There are 78 months between 30th June 2013 and 31st December 2020.
Therefore, total smartphone ownership by end of 2020 = 11.1 million + (140,000*78) = 22,020,000.
Smartphone ownership = 22.02 million
in which calendar year Australian smartphone ownership will reach 22 million. [5 marks
Using the equation, we would determine the number of months till the total smartphone ownership is 22 million.
22 million = 11.1 million + 140,000 X
140,000 X = 22 million -11.1 million
140,000 X = 10.9 million
X = 10.9 million / 140,000 = 77.86 months
Therefore, smartphone ownership will reach 22 million in 2020.
Given below is quintile distribution of average household weekly income in Town A and Town B.
Quintile
Number of households
Average weekly household income ($) in town A
Average weekly household income ($) in town B
Q1
200
500
900
Q2
200
900
1050
Q3
200
1250
1250
Q4
200
1450
1300
Q5
200
1800
1400
Calculate Gini Coefficient of average weekly household income in Town A and Town B (Please keep 4 decimal places for all percentages and 2 decimal places for Gini coefficients. You must show necessary working steps). [10 marks]
Quintile
Number of households
Average weekly household income ($) in town A
Share of total income (%)
Cumulative share of income
Cumulative share of total population
Area
Q1
200
500
8.4746%
8.47%
20%
84.7
Q2
200
900
15.2542%
23.7288%
40%
321.988
Q3
200
1250
21.1864%
44.9153%
60%
686.441
Q4
200
1450
24.5763%
69.4915%
80%
1144.068
Q5
200
1800
30.5085%
100.0000%
100%
1694.915
Total
5900
3932.112
Gini coefficient = [(100*100/2) – 3932.112]/[100*100/2]
Gini coefficient (Town A) = (5,000 – 3,932.112) / 5000 = 0.2136 or 21.36%
The table below shows the calculation of the gini coefficient for Town B
Quintile
Number of households
Average weekly household income ($) in town A
Share of total income (%)
Cumulative share of income
Cumulative share of total population
Area
Q1
200
900
15.2542%
15.2542%
20%
152.542
Q2
200
1050
17.7966%
33.0508%
40%
483.05
Q3
200
1250
21.1864%
54.2373%
60%
872.881
Q4
200
1300
22.0339%
76.2711%
80%
1305.084
Q5
200
1400
23.7288%
100.0000%
100%
1762.711
Total
5900
4576.268
Gini coefficient = [(100*100/2) – 4576.268]/[100*100/2]
Gini coefficient (Town B) = (5,000 – 4576.268) / 5000 = 0.0847 or 8.47%
The Gini coefficient for town A is greater than that for town B. This indicates a difference in the equality of income distribution between the two towns. Town A has a greater Gini coefficient than town B. Therefore, income inequality in town A is greater than in town B.
Presented below in the Table 1 are the OECD household expenditure equivalence units and in Table 2 are the average number of people in household and the annual household expenditure by the age of household head.
Table 1
Household size
OECD Household expenditure equivalence units
Increment
1
1
2
1.7
0.7
3
2.2
0.5
4
2.7
0.5
5
3.2
0.5
Table 2
Age of household head
Average number of people in household
Annual household expenditure ($)
Equivalent average annual household expenditure ($)
74
1.5
27,650
?
Using the OECD household expenditure equivalence units, estimate the equivalent average annual household expenditure in households headed by people in each age group, taking into account the average number of people in the household. [10 marks]
We need to predict the annual household expenditure for a household with one person.
Age of household head
Average number of people in household
Annual household expenditure ($)
OECD Household expenditure equivalence units
Equivalent average annual household expenditure ($)
74
1.5
27,650
1.35
$ 20,481
Comment on the rationale of using household expenditure equivalence units in estimating equivalent average annual household expenditure. [2 marks]
The use of household expenditure equivalence units in estimating equivalent average annual household expenditure helps in eliminating extreme high and extreme low values of household expenditure. Therefore, this method eliminates outliers from the data of household annual expenditure.
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