“Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations
description
Transcript of “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations
![Page 1: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/1.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
1
“Reflections on the Human Development
Index” (paper by J. Foster)
Additional Considerations Michaela Saisana
European CommissionJoint Research Centre
Econometrics and Applied Statistics Unit
![Page 2: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/2.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
2
Introduction• Achieveme
nts• The
challenge• The
measure• Popularity
It is exactly the “unobserved” nature of composite indicators that is their main limitation and their raison d'être.
180
4,460
7,730
12,600
16,20017,80018,600
21,300
0
5,000
10,000
15,000
20,000
25,000
1985 1990 1995 2000 2005 2010 2015
Year
Scho
lar G
oogl
e hi
ts o
n "H
uman
dev
elop
men
t ind
ex"
~5-fold increase since
2000
180
4,460
7,730
12,600
18,600
21,300
77,100
115,000
0
5,000
10,000
15,000
20,000
25,000
1985 1990 1995 2000 2005 2010 2015
Year
Scho
lar G
oogl
e hi
ts o
n "H
uman
dev
elop
men
t ind
ex"
0
50,000
100,000
150,000
200,000
250,000
Scho
lar G
oogl
e hi
ts o
n "G
ross
do
mes
tic p
rodu
ct"
“Yet the dimensions of the HDI do not easily meld into one. And without a systematic method […prices…] the index could prove difficult to explain and defend” (J. Foster, 2013)
![Page 3: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/3.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
3
• Calibration• Goalposts• Gaterories • Cobb-Douglas HDI
Main points
![Page 4: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/4.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
4
• Calibration• Goalposts• Categories • Aggregation• New HDI
Main points“Frequent recalibration gives the strong suggestion that HDI values are contingent and temporary and depend importantly on arbitrary constructs”
Foster’s suggestion: 1) ~ 10 year recalibration (as for
poverty)2) Crossover between calibration
periods: process outlined explicitly and transparently
Source: Global Innovation Index
![Page 5: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/5.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
5
Source: Global Innovation Index
![Page 6: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/6.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
6
• Calibration• Goalposts• Categories • Cobb-Douglas HDI
Main points“The HDI is typically cast and interpreted as a multidimensional measure of size and hence is seen to be an absolute measure. […] Yet in actual implementation, this is not necessarily the way the HDI behaves.”
Life expectancy at birth Bounds in the HDIAfter 2010: 20y – observed (83.2 y, JN) Before : 25y – 85y
Source: Wikipedia
![Page 7: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/7.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
7
34.6 32.8
39.844.0
47.8
76.7 79.082.3 83.4
30354045505560657075808590
1970 1980 1990 2000 2010 2020
Life
exp
ecta
ncy
at b
irth
(yea
rs)
• Calibration• Goalposts• Categories • Cobb-Douglas HDI
Main pointsMinimum and Maximum across 194 countries
85.6
Life expectancy at birth Suggestion: Fixed bounds30y (Early 20th Century) – 87 years
Similarly for the other indicators
![Page 8: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/8.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
8
• Calibration• Goalposts• Categories • Cobb-Douglas HDI
Main pointsCategories of Human DevelopmentRelative (since 2010) versus Absolute (before 2010)+ progress against other countries, rather than arbitrary numerical cutoffs whose meaning may vary with each new calibration. - fuzzy incentives, less practical value for the
country- many factors enter into the determination of
progress (e.g. different calibrations, performance of other countries, policies of the country, or inclusion of new countries).
- a country can not set a meaningful numerical target to achieve over time.
Foster’s suggestion: 1) A staggered recalibration schedule &2) Fixed numerical cutoffs for the four HD categories (e.g. WB grouping by income)
![Page 9: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/9.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
9
Main points
HDI Life expectancy at birth (years)
Mean years of
schooling
Expected years of
schooling
GNI per capita (PPP$)
…
0.6 58.2 7.9 10.8 6,487
0.8 …
Further recommendation: To present the fixed cutoffs for the HDI with respect to the raw data (assuming an even performance)
• Calibration• Goalposts• Categories • Cobb-Douglas HDI
![Page 10: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/10.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
10
Main points•Calibration•Goalposts•Categories • Cobb-Douglas HDI
3/13/13/1 YELW “[…] attempt to view the HDI more as a social evaluation function that aggregates across dimensional variables directly”
3/13/13/1 YELW
L= life expectancy - 20 yearsE =1/2 (mean years of schooling + expected years of schooling)Y= ln (GNI per capita) – ln (100)
*/WWH W*= target social evaluation level
![Page 11: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/11.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
11
Advantages of the geometric mean versus the arithmetic mean for the HDI1) implies only partial compensability, i.e. poor performance in one HD dimension cannot be fully compensated by good performance in another, 2) rewards balance by penalizing uneven performance between dimensions, 3) encourages improvements in the weak dimensions, i.e. the lower the performance in a particular HD dimension, the more urgent it becomes to improve in that dimension.
Life Edu GNI stdevHDI
(arithmetic)HDI 2011
(geometric)Liberia’s
improvement
Mali .496 .270 .346 .115 .371 (176) .359 (175)
Liberia .580 .439 .140 .225 .386 (175) .329 (182)
Option A .680 .439 .140 .419 .347 5.5%
Option B .580 .439 .240 .419 .394 19.8%
More on the geometric mean in the case of the HDI…
![Page 12: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/12.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
12
More on the “quality” of the HDI… (Implicit Weights) We suggest to use as a measure of
importance of a variable in an index what is known as:
‐ Pearson’s correlation ratio‐ First order effect‐ Top marginal variance- Main effect…
Source: Paruolo, Saisana, Saltelli, 2013, J.Royal Stat. Society A
Using these points we can compute a statistics that tells us: How much (on average) would the variance of the HDI scores be
reduced if one could fix “Life expectancy”?
HDI
Life Expectancy
![Page 13: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/13.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
13
𝑆 𝑖=𝑉 𝑋 𝑖
(𝐸𝑋 𝑖 (𝑌|𝑋 𝑖 ))𝑉 (𝑌 )
More on the “quality” of the HDI… (Implicit Weights)
HDI
Life Expectancy
HDI 2011 NominalWeights (wi)
Implicit Weights (Si)
Life expectancy .333 .83 [.81 .85]
Education .333 .88 [.83 .87]
GNI .333 .90 [.88 .91]We could reduce the variation of the HDI scores by 83% by fixing ‘Life expectancy”.
Quality check: The HDI is balanced in its three underlying dimensions (Si values are very similar)
![Page 14: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/14.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
14
More on the “quality” of the HDI… (Marginal weights)
Recommendation: To plot life expectancy instead to evidence that countries with low life expectancy are more encouraged to improve
Marginal Weights=
![Page 15: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/15.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
15
Some recent criticism…
Source: M. Ravallion (2012) Troubling tradeoffs in the HDI, J. Dev. Economics, 99:201-209
Tradeoffs = marginal rate of substitution, i.e. how much of one dimension must be given up for an extra unit of another, keeping the index constant.
Previous HDI
The new HDI has devalued longevity, especially in poor countries.
![Page 16: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/16.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
16
Final considerations Simply take the log of GNI just once (now logged twice) Take the arithmetic average the two education indicators (now geometric) Use two indicators per dimension (now only in case of education) Use the generalized mean of the three dimensions (a compromise solution between arithmetic-geometric averaging) /1)( YELHDI
mean arithmetic,1mean geometric,0
mean arithmetic ,1mean geometric ,0
5.0
![Page 17: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/17.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
17
Assess any new calibration formula in terms of: Implicit weights (reduction in the HDI variance by
fixing one dimension at a time) Marginal weights (impact on HDI of 1% increase
in one of the dimensions) Marginal rate of substitution (how much of one
component must be given up for an extra unit of another, keeping the index constant)
More reading at:http://composite-indicators.jrc.ec.europa.eu(first Google hit on “composite indicators” over the last 10 years!)
![Page 18: “Reflections on the Human Development Index” (paper by J. Foster) Additional Considerations](https://reader036.fdocuments.us/reader036/viewer/2022062501/568166dc550346895ddb070c/html5/thumbnails/18.jpg)
Michaela Saisana Second Conference on Measuring Human Progress
New York, 4-5 March 2013
18
1. Paruolo P., Saisana M., Saltelli A., 2013, Ratings and Rankings: voodoo or science?. J Royal Statistical Society A 176(2).
2. Saisana M., Saltelli A., 2012, JRC audit on the 2012 WJP Rule of Law Index, In Agrast, M., Botero, J., Martinez, J., Ponce, A., & Pratt, C. WJP Rule of Law Index® 2012. Washington, D.C.: The World Justice Project.
3. Saisana M., Philippas D., 2012, Sustainable Society Index (SSI): Taking societies’ pulse along social, environmental and economic issues, EUR 25578, Joint Research Centre, Publications Office of the European Union, Italy.
4. Saisana M., D’Hombres B., Saltelli A., 2011, Rickety Numbers: Volatility of university rankings and policy implications. Research Policy 40, 165–177.
5. Saisana M., Saltelli A., Tarantola S., 2005, Uncertainty and sensitivity analysis techniques as tools for the analysis and validation of composite indicators. J Royal Statistical Society A 168(2), 307-323.
6. OECD/JRC, 2008, Handbook on Constructing Composite Indicators. Methodology and user Guide, OECD Publishing, ISBN 978-92-64-04345-9.
References and Related Reading