Day 6: 7 November 2011
Presenter: Ms Valentina Stoevska
Presenter: Ms. Valentina Stoevska,
Statistician ILO
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Day 6: 7 November 2011 Presenter: Ms. Valentina Stoevska, - - PowerPoint PPT Presentation
Day 6: 7 November 2011 Presenter: Ms. Valentina Stoevska, Presenter: Ms Valentina Stoevska Statistician ILO 1 An indicator which measures average changes over An indicator which measures average changes over time in prices of
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An indicator which measures average changes over An indicator which measures average changes over
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An indicator which measures changes over time in the
(i) to measure the change over time in the cost of
(ii) to measure the effect of price change on the cost of
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1500 1562.5 1485 714
1485.714 1375 5000 6000
3000 4000 5000
Nominal income Real income
1000 2000
Real income
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
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1 1.2 0.4 0.6 0.8
Nominal and real income
0.2 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
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household income, in current $ CPI (2000=100) Average annual household income, in constant 2000 $
1995 $35,000 95.5 $36,649 2000 $40 000 100 $40 000
constant 2000 $
2000 $40,000 100 $40,000 2005 $45,000 116.5 $38,627 2010 $50,000 121.7 $41,085
Nominal income between 2000 and 2010 increased 25%. At the same time prices increased for 21.7%. Real Increase was 2 7%
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Real Increase was 2.7%
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simple random (or equal probability) sampling (SI); stratified sampling with SI sampling in each stratum sampling with probability proportional to size
stratified sampling with PPS sampling in each stratum
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Simple Composite Types of Index Numbers Arith mean Ratio of Geometric Simple Elementary Aggregate indices Simple Weighted Composite Higher level Indices Arith.mean
Ratio of
Geometric mean Simple L P h Fi h Weighted Laspeyres Paasche Fisher
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t t i i n i n /
1
=
i 1
=
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t t i i i n /
1
=
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n
t t i i n i i n n /
1 1
=
I p p p
t t i i n i i n n t i i n n / /
* *
1 1 1
100 100
= =
= =
i 1 =
i 1 =
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V ariety P rice in th e p eriod 1 2 3 x 5 5 4 5 x 5 5 4 5 y 4 8 6 4 z 8 4 1 0 8 A rith m etic m ean 5 .7 5 .7 6 .7 5 .7 G eom etric m ean 5 .4 5 .4 6 .2 5 .4 G eom etric m ean 5 .4 5 .4 6 .2 5 .4 (a) A rith m etic averag e of p rice ratios In d ex d irect 1 0 0 .0 1 1 6 .7 1 1 8 .3 1 0 0 .0 In d ex ch ain ed 1 0 0 .0 1 1 6 .7 1 5 7 .5 1 4 2 .6 (b ) R atio of arith m etic m ean p rices In d ex d irect 1 0 0 .0 1 0 0 .0 1 1 7 .6 1 0 0 .0 In d ex ch ain ed 1 0 0 .0 1 0 0 .0 1 1 7 .6 1 0 0 .0 In d ex ch ain ed 1 0 0 .0 1 0 0 .0 1 1 7 .6 1 0 0 .0 (c) R atio of g eom etric m ean p rices an d g eom etric averag e of p rice In d ex d irect 1 0 0 .0 1 0 0 .0 1 1 4 .5 1 0 0 .0 In d ex ch ain ed 1 0 0 0 1 0 0 0 1 1 4 5 1 0 0 0
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In d ex ch ain ed 1 0 0 .0 1 0 0 .0 1 1 4 .5 1 0 0 .0
Select items/products with the objective of achieving
The choice of formula depends:
Use GM formula particularly where there is a need to reflect
The APR formula should be avoided in its chained form, as it is
Where possible, EA indices to be calculated as weighted averages.
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i i i n i i n 2 1 2 1 1
/ ( )
=
i i i 1 1 1
=
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i i i n n 2 1 2 2 1
/ (
=
i i i 1 2 1
=
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( )
+ 2
i i W
W
i i i n
( )
+
2 1 / 2 1 / 2
2 1
W W i
i i i i i i i n 2 1 2 1 2 1 1 1 2 / (
=
i 1
=
i i i i n 2 1 2 1
=
i i i i n 2 1 1 1 2 1 / (
=
2 1 2 1 2 1 / / /
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Hypothetical example
Laspeyres’ Index =120.0
Paasche’s Index = 102.9 Edgeworths Index = 110.0 Fisher’s Ideal Index =111.1 Törnqvist Index = 111.0 Walsh Index=111.0
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Methods used to adjust for quality change can have
(i) Implicit adjustment procedures (i) Implicit adjustment procedures
(ii) Explicit adjustment procedures (ii) Explicit adjustment procedures
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