Revisiting Global Poverty Measurement

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Revisiting Global Poverty

Measurement

Martin Ravallion

Georgetown University

1

Ravallion, Martin, and Shaohua Chen, 2017, “Welfare-Consistent Global

Poverty Measures.” NBER Working Paper 23739.

Ravallion, Martin, 2016, “Are the World’s Poorest Left Behind?” Journal

of Economic Growth.

Presentation at Economic Research Forum, Cairo, December 2017

2

Large reduction in the incidence of absolute

poverty in the developing world

0

400

800

1,200

1,600

2,000

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Number (in millions) living below World Bank international line

($1.90/person/day; 2011 PPP)

Two concerns about current measures of

global poverty

1. Ignoring social effects: taking relative deprivation seriously. Do current methods make economic sense?

Are the current stylized facts about poverty right?

Relative poverty in rich world; how much poorer is the developing word?

Rising inequality in many growing developing countries; slower progress than we think?

2. Ignoring the floor: making sure that none are left behind. Rights-based approaches: social inclusion

Are the poorest being left behind?

3

1: Social effects on welfare

4

5

0

1

2

3

4

5

3.2 3.6 4.0 4.4 4.8 5.2 5.6 6.0 6.4

Log of mean household consumption or income per person

Lo

g o

f th

e p

ove

rty r

ate

(%

be

low

$1

.25

a d

ay)

Stylized fact 1: Less poverty in richer countries

(Log) headcount index plotted against log mean

Two stylized facts about poverty

Stylized fact 2: Poverty is falling globally

6

0

400

800

1,200

1,600

2,000

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Number (in millions) living below World Bank international line

($1.90/person/day; 2011 PPP)

Both stylized facts are based on absolute

poverty measures

• Arthur Bowley (1915):

– “There is perhaps, no better test of the progress of a nation than that which shows what proportion are in poverty and for watching the progress the exact standard selected as critical is not of great importance, if it is kept rigidly unchanged from time to time.”

• This approach ignores social effects: taking relative deprivation seriously.

• Yet ample evidence that people care about relative income as well as absolute income.

7

Two worlds of poverty measurement

Two standard (near universal) approaches:

• Relative poverty lines set at (say) 50% of the mean or median have dominated practice in rich countries (except US)

z = k.m

(Call these “strongly relative” lines.)

• Absolute poverty lines—fixed in real terms—have dominated

practice in the developing world, and the US.

z = constant (in real value)

8

People care about relative consumption

• The value attached to consumption of a specific commodity depends in part on what others consume. “Keeping up with the Jones.”

• Janis Joplin: “Oh Lord, won't you buy me a Mercedes Benz? My friends all drive Porsches, I must make amends.”

• Duesenberry (1949), Easterlin (1974), Hirsch (1977), Frank (1985), Frey and Stutzer (2002), Luttmer (2005), Senik(2005), Knight et al. (2009), Clark et al. (2008), Rayo and Becker (2007), Cohn, et al. (2014).

Two questions

• Do current methods of global poverty measurement make economic sense?

• Are the two stylized facts about poverty robust to allowing for social effects on welfare?

Relative poverty in rich world; how much poorer is the developing word?

Rising inequality in many growing developing countries; slower progress than we think?

10

Three contributions

1. Formalize a deep identification problem in past literature basing international poverty lines on national lines => uncertainty about welfare-consistent measures.

2. Provide a new way of defining the comparison income in relative comparisons at national level, recognizing that comparisons need not be horizontal.

3. Implement empirically in new data on both national lines (140 countries) and surveys (1500 surveys spanning 150 counties since 1990).

11

Theoretical arguments

12

Under a plausible assumption about welfare

neither standard approach makes sense

• Suppose that people care about both their own consumption and their consumption relative to a comparison level, such as mean in country of residence.

• Then neither absolute nor relative poverty measures are welfare consistent, i.e., they do not treat people with the same level of welfare the same way.

13

What might welfare-consistent measures look like?

What does global poverty look like with such measures?

Poverty is absolute in the space of welfare

• Poverty measures that use a constant real line do not take account of the concerns people face about relative deprivation and social exclusion. These are specific to place and time.

• The overriding principle: poverty is absolute in the space of welfare: “…an absolute approach in the space of capabilities translates into a relative approach in the space of commodities” (Amartya Sen, 1983)

14

Welfare effects of relative consumption

• Welfare depends on relative consumption:

y=own consumption; m(>0)=comparison income; uy>0; uy/m>0

• The poverty line (z) is “absolute” in the welfare space, but “relative” in consumption space:

• Inverting gives the poverty line as a function of the mean:

• The elasticity to mean is positive but less than unity.

“weakly relative” measures.

• Then neither absolute lines nor relative lines can be correct!

)/,( mzzuuz

)/,( myyuu

),( zumzz

15

1.1

1

ln

ln0

MRSm + =

m

z(where MRS=uy/uy/m)

The perverse assumption of strongly relative

lines: Only relative income matters!

• Strongly relative lines–set at (say) 50% of the mean or median—imply that people care only about relative income; no value on own income!

• If utility is only determined by relative income (own income ydivided by mean income m) then:

• The monetary poverty line is the income you need to attain the poverty level of welfare:

• Inverting we have the poverty line as a constant proportion of the mean:

)/( mzuuz

mufz z )(

)/( myuu

16

Alternative interpretation: Capabilities and

the cost of social inclusion

• Following Atkinson and Bourguignon (2002) we can think of poverty as having both absolute and relative aspects in the income space.

– The former is a failure to attain basic survival needs: the capabilities of being adequately nourished and clothed for meeting physical needs of survival and normal activities.

– On top of this, a person must satisfy social needs, which depend on the prevailing living standards in the place of residence.

• Atkinson-Bourguignon: To be non-poor one needs to be neither absolutely poor (“survival” capabilities) nor relatively poor (social inclusion capabilities).

• Calibrated to data on national poverty lines. 17

It can be agreed that certain forms of

consumption serve an important social role

• Famously, Adam Smith pointed to the social-inclusion role of a linen shirt in eighteenth century Europe:

“..a creditable day-labourer would be ashamed to appear in public without a linen shirt, the want of which would be supposed to denote that disgraceful degree of poverty which, it is presumed, nobody can well fall into without extreme bad conduct.”

• Anthropologists have often noted the social roles played by festivals, celebrations, communal feasts, clothing.– Seemingly high expenditures on celebrations and festivals by very poor

people in survey data for a number of countries (Rao, Banerjee-Duflo).

– Clothing can also serve a social role; conspicuous “designer label,” which he interpreted as status-seeking behavior.

– Qat in Yemen “refusing to take qat is tantamount to accepting ostracisation” (Milanovic, 2008, p.684).

18

However, the social role of consumption does

not imply strongly relative poverty lines

• The key assumption of strongly relative lines is that the cost of inclusion is a constant proportion of mean income.

• That is implausible. The social-inclusion needs of very poor people may well be low, but it is difficult to see why they would go to zero in the limit.

– Presumably a socially acceptable linen shirt would not have cost any less for the poorest person in eighteenth century Europe as for someone living at the poverty line.

– Very poor people are highly constrained in spending on things that facilitate their social inclusion, but that does not mean that their inclusion needs are negligible.

19

Weakly vs. strongly relative lines

Poverty line

Absolute line

Weakly relative Strongly relative

(Atkinson-Bourguignon)

Social inclusion cost for

poorest; e.g., Adam Smith’s

linen shirt, which costs just

as much for the poorest.

Mean

20

(0,0)

Stepping back: why do we see higher (real)

poverty lines in richer countries?

21

0

4

8

12

16

20

24

28

32

36

40

-0.4 0.0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.2 3.6 4.0 4.4

Mean consumption per person per day (log scale; 2011 PPP)

Na

tio

na

l p

ove

rty lin

e (

$/d

ay/p

ers

on

; 2

01

1 P

PP

)

USA

),( zumzz

Deep identification problem: higher welfare norms or higher costs of inclusion?

Egypt

Two possible reasons for the relativist

gradient

1. Social effects: Relative deprivation or rising costs of social inclusion (avoiding shame). Then a relative line is called for if we are to be absolute in terms of welfare.

2. Social norms: Richer countries implicitly use a higher reference level of welfare for defining poverty. Then we would want to use a common global norm an absolute line in terms of real income.

22

But we can’t say which is right!

Model 1: Social effects

23

There are two commodities (more can be added), consumed in amounts ijx1 and ijx2 for person i in country/date j.

Derived utility depends on consumption relative to certain socially accepted thresholds (interpretable as “basic needs”) in each setting.

The threshold for a given commodity rises with the overall mean, jm , and also depends on the prices prevailing in j,

denoted ),( 21 jjj ppp (One might postulate other factors.)

The thresholds for consumption are denoted: ),(11 jjj pmzz and ),(22 jjj pmzz

for goods 1 and 2 respectively.

Model 1 cont.

24

Utility is )/,/( 2211 jijjijij zxzxuu ,

which is maximized subject to the usual budget constraint:

ijjijjij xpxpy 2211 .

The poverty line is the cost of the threshold bundle,

jjjjj zpzpz 2211 ,

which rises with jm .

Globally, everyone living at the poverty line can afford the relevant threshold bundle, assuming a common utility level,

)1,1(uu z .

Thus the lines are welfare consistent.

Model 2: Social norms

25

In this model there are no social effects on welfare, so the utility of person i in country/date j depends on own consumption, as ),( 21 ijijij xxuu (with the function u having

standard properties), which is again maximized subject to

ijjijjij xpxpy 2211 .

As usual, the maximum attainable utility is given by the indirect utility function ),( jij pyv .

The other key difference with Model 1 is that the reference level of utility needed to not be considered poor is now taken

to be a rising function of the mean; let this be ),( jj

z

j pmfu .

The solution of ),( jj

z

j pzvu for jz is an increasing function

of jm (as well as jp ).

Where does come from in Model 2?

26

We can posit a “first-best” distribution for a given mean.

This can be characterized as maximizing some weighted aggregate of utilities, with the weights reflecting the government’s social preferences.

One can then define z

ju as the lowest utility found in this

optimal plan, with an implied jz .

The first-best is not, however, implemented given other constraints (notably on information and administrative capabilities), so the current actual distribution has incomes below jz .

In other words, the prevailing national poverty line is the minimum income in the government’s ideal distribution of income for that country and time, given the total income.

Naturally, when the latter rises, the minimum also rises.

zju

The big uncertainty about global poverty!

• The problem is that we do not know which of these two interpretations—social effects on welfare or differing social norms in defining poverty—is right.

• And we may never resolve the matter from conventional empirical evidence. – There have been many claims about the existence of various social

effects on subjective welfare responses, though problems remain in credibly identifying such effects.

• This uncertainty makes it compelling to consider both approaches when measuring global poverty.

27

Proposed bounds to global poverty

• Absolute poverty measures can be interpreted as the lower bound to the true welfare-consistent measure.

– The lower bound assumes that the relativist gradient only reflects differing social norms.

• A weakly relative measure of poverty provides its upper bound, allowing for social effects on welfare.

– The upper bound assumes that the relatavist gradient stems solely from social effects on welfare—extra spending needed to attain the same level of welfare in richer countries.

• Those living between the two bounds are still poor by standards typical of the country they live in.

• The true welfare-consistent absolute line lies somewhere between the two bounds.

28

What comparison income?

• Neither mean nor median is plausible.• Who are the “Joneses”? People can look upward,

horizontally or downward in making relative comparisons.• Thought experiment: pick pairs at random and select the

point you take between the two incomes for comparison.

= the contribution of the (k, l) pair drawn in country j to the assessment of the comparison income for j

• With a large sample, unbiased estimate of:• Solution:

• Special case: downward comparisons:

29

jjj mGm ])21(1[*

jj mG )1(

),max(),min()1(),( ljkjljkjljkj yyyyyy

j jN

k

N

l

ljkj

j

j yyN

m1 1

2

* )(1

Implications for growth and poverty

30

We can write the poverty measure in the generic form:

]),,(/[ *

j

z

jjjj LumzmPP with 0/ zmP

jL = vector of parameters fully describing the Lorenz curve.

Holding z

ju and jL constant, we then have (taking log

derivatives):

0)1()/ln(

ln

ln

ln

j

jj

j

j

j

zm

P

m

P

As long as the poverty measure is weakly relative ( 1j ),

distribution-neutral growth in the mean will reduce it.

31

Effect of an increase in Gini index is theoretically ambiguous.

This will depend in part on precisely how the Lorenz curve shifts and there are infinitely many possibilities.

Consider situations in which:

]),,(/[ *

j

z

jjjj GumzmPP with 𝑃𝐺′ > 0. Then:

0/0ln

ln

])21(1[

)21(.

)/ln(

ln

ln

ln

zdmj

j

jj

jjj

jj

j

dmj

j

G

P

G

G

zm

P

G

P

Sign cannot be determined from the assumptions so far. o If 5.0 or relative comparisons are upward-looking

( 5.0 ) then poverty will increase with a higher Gini index (holding the mean constant).

o With downward revisions the effect could go either way.

We will examine this issue empirically

Implications for growth and redistribution

Empirical implementation

32

Data on national

poverty lines

• N=145

• Developing countries: Official lines and/or WB Poverty Assessments countries

• Developed countries: Relative lines (except US)

• US official line

• Also implicit lines from Jolliffe-Prydz

33

0

10

20

30

40

50

60

70

80

0 10 20 30 40 50 60 70 80

Mean ($ per person per day; 2011 PPP)

Po

ve

rty lin

e (

$ p

er

pe

rso

n p

er

da

y; 2

01

1 P

PP

)

USA

Luxembourg

Switzerland

Norway

CanadaAustralia

UKSpain

ItalySlovenia

Austria

Iceland FrNeBe

Japan

0

4

8

12

16

20

24

-0.4 0.0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.2 3.6

Log mean ($ per person per day; 2011 PPP)

Po

ve

rty lin

e (

$ p

er

pe

rso

n p

er

da

y; 2

01

1 P

PP

)

DRC

Slovenia

Gu Honduras

Argentina

Chile

LithuaniaHungary

Lebanon

South AfricaBotswana

SlovakRep.

Turkey

Brazil

Uganda

Haiti

RwandaMadagascar

Iraq

Poland

Panama

CI

ChinaIndia Namibia

BeninKyrgyz

ES

Liberia

Costa Rica

Estonia

ParaguayVenezuela Latvia

EcuadorBhutanCAR

B&H

Mont.

Egypt

Uruguay

Czech

Colombia

Sn.

Ym

Az

SL

Belarus

SbFiji

$PPP, 2011

Calibration to national poverty lines

34

(1) (2) (3) (4) (5) (6)

Full

sample

Non-

OECD

Full

sample

Non-

OECD

Full

sample

Non-

OECD

OLS OLS OLS OLS IV IV

Intercept ( ) 1.072***

(0.313)

0.891***

(0.217)

0.856***

(0.163)

0.887***

(0.233)

1.001***

(0.234)

1.102***

(0.054)

Gini-discounted

mean ( )

0.781***

(0.106)

0.697***

(0.085)

0.704***

(0.018)

0.695***

(0.050)

0.687***

(0.029)

0.650***

(0.054)

Weight on

higher income

in any pair ( )

-0.115

(0.111)

-0.002

(0.097)

n.a. n.a. n.a. n.a.

R2 0.958 0.813 0.956 0.813 0.956 0.804

SEE 1.698 1.540 1.723 1.534 1.733 1.536

N 145 121 145 121 143 119 Notes: White standard errors in parentheses; ***: 1%; **: 5%; *: 10%; OLS: Ordinary Least Squares; IV:

Instrumental variable.

)1(])21(1[ n,..,=j mG= z jjjj

)0,00.1$7.0max(90.1$ * j

U

j m z

The identification problem

35

mG= z jjjj )1(

Error term includes z

ju which varies across countries with *

jm .

OLS converges in large samples to where 0 is the

regression coefficient of j on z

ju and 0 is the regression

coefficient of z

ju on *

jm .

Thus OLSˆ . The gradient w.r.t. the mean derived from the

national lines will overestimate the value required for welfare consistency.

Upper bound assumes no bias due to latent heterogeneity in country-specific reference welfare levels ( 0 ).

Lower bound assumes maximum bias, so that 0 , giving a standard absolute line.

Upper and lower bounds

Poverty line

Slope=0.7

$1.90/day

$0.90

36

)0,00.1$7.0max(90.1$ * j

U

j m z

Gini-adjusted mean

Upper

bound

Lower

bound

Distributional data

• PovcalNet for developing countries; LIS and EUSILC for advanced countries.

• 1,500 household surveys for 150 countries over 1990-2013.

• Consumption or income per capita. Consumption preferred to income when there is a choice.

• 2011 ICP + best available price index over time within each country.

• Extrapolations/interpolations to line up estimates into reference years.

37

Global poverty measures

38

On track for

SDG1, but

last few % may

be harder

0

10

20

30

40

50

60

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Glo

bal headcount in

dex o

f povert

y (

%)

Lower bound

(absolute; $1.90/day)

Upper bound

(weakly relative)

Slower progress against relative poverty, and rising share who are no longer absolutely poor but still relatively poor.

Numbers of poor

39

Absolutely poor

Relatively poor but not absolutely poor

0

400

800

1,200

1,600

2,000

2,400

2,800

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Glo

ba

l co

un

t o

f th

e n

um

be

r o

f p

oo

r (m

illio

n)

Lower

bound

Upper

boundRising numbers of relatively poor

but not absolutely poor

A source of the Arab Spring?

40

Absolutely poor measured using the Ravallion et al. $1.25 a day line; Relatively poor using the Ravallion-Chen weakly relative lines

0

20

40

60

80

100

120

1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006

Number of poor in Middle-East and North Africa (millions)

Relatively poor

Of which absolutely poor

Breakdown of the global count for upper bound

41

0

500

1,000

1,500

2,000

2,500

3,000

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Co

un

t o

f th

e n

um

be

r o

f p

oo

r (m

illio

ns)

High income countries

Absolute poverty in

developing world

Relatively poor in

developing world

Global count

The purely relative poverty rate in the

developing world has overtaken the rich world

42

0

10

20

30

40

50

60

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Developing countries

(upper bound: absolute + relative)

Developing countries

(lower bound: absolute only)

High-income countries

Developing countries

(upper minus lower: relative only)

Po

ve

rty r

ate

(%

be

low

re

leva

nt lin

e)

Relationship to the overall mean

43

-6

-4

-2

0

2

4

6

3.6 4.0 4.4 4.8 5.2 5.6 6.0 6.4 6.8 7.2 7.6 8.0

Log mean (latest survey)

Upper bound

Lower bound

Log h

eadcount

index (

late

st

surv

ey)

Descriptive cross-country regressions for

changes in poverty measures

44

Growth rate in the headcount index

Lower bound poverty lines

( ))(( LzFg

Upper bound poverty lines

( ))(( UzFg

Growth rate in

the survey

mean ( )(mg )

-2.239***

(0.280)

-2.394***

(0.283)

-0.434***

(0.050)

-0.453***

(0.048)

-1.664***

(0.193)

)(mg x log initial

mean

n.a n.a n.a n.a 0.240***

(0.037)

Growth rate in

the Gini index

( )(Gg )

n.a. 2.478***

(0.461)

n.a. 0.427***

(0.130)

0.460***

(0.112)

R2 0.337 0.455 0.316 0.404 0.499

SEE 0.079 0.072 0.016 0.015 0.014

N 136 136 144 144 144

Notes: White standard errors in parentheses; ***: 1%; **: 5%; *: 10%. Growth rates are

annualized log differences; iitititi xxxg /)/ln()( .

Elasticity is close to

zero in rich countries

2: Monitoring progress in assuring

that none are left behind

45

2.1: Theoretical arguments

46

A widely held view: poorest left behind

• “The poorest of the world are being left behind. We need to reach out and lift them into our lifeboat.” U.N. Secretary-General Ban Ki-moon, 2011

• “The World’s Poorest People are Not Being Reached.” IFPRI

• “Poverty is not yet defeated. Far too many are being left behind.” Guy Ryder, ILO

• And in 2015 the Vatican’s representative to the U.N. reaffirmed that the poorest of the world are being left behind.

47

Yet others appear to tell a different story

• We hear adages such as “a rising tide lifts all boats” or claims that “growth is good for the poor” (Dollar and Kraay) or that there has been a “breakthrough from the bottom” (Radelet).

• These views are generally based on survey-based evidence suggesting a falling incidence of absolute poverty in the developing world over recent decades.

48

How can we understand this difference?

The counting approach vs.

The rights-based approach

• We have seen the counting approach to measuring poverty. (The counting approach includes counts with unequal weights, such as PG, SPG, Watts.)

49

• The rights-based approach focuses on the consumption floor—the lowest expected level of living.

• If the poorest person sees a gain (loss) then (by definition) the consumption floor must rise (fall).

• The counting approach may miss what is happening at the floor.

0

10

20

30

40

50

60

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

Glo

ba

l h

ea

dco

un

t in

de

x o

f p

ove

rty (

%)

Lower bound

(absolute)

Upper bound

(weakly relative)

Same reduction in the poverty count but

different implications for the poorest

50

Poorest left behind Same reduction in the incidence of poverty but without leaving the poorest behind

Measure of

welfare

Cumulative % of

population

Measure of

welfare

Cumulative % of

population

Poverty

line

Poverty

line Floor stays put

Rising floor

Arguments for studying the floor

• Rights-based approaches to justice

– Justice must be concerned with each citizen not averages

– Rights must be secured for all; none left behind.

• Mahatma Gandhi’s talisman:

– “Recall the face of the poorest and weakest person you have seen and ask if the step you contemplate is going to be any use to them.”

• Sustainable Development Goals: “ensure no one is left behind.”

• UN Report on World Social Situation: Leave No One Behind

51

Safety net as a consumption floor

• Social policies also aim to raise the floor above the biological minimum for survival.

• Statutory minimum wage rates: first appeared in late 19th

century in an effort to help raise the consumption floor.

• Basic-income guarantee (BIG): From the 1970s, we started to see arguments in support of a fixed cash transfer to every adult. A firm floor.

• Social policy as a “right of citizenship” rather than something to be targeted based on “need.”

• The ILO calls for a comprehensive Social Protection Floor:“nationally defined sets of basic social security guarantees”.

• Social policies in developing countries (China and India) aim to raise the floor. Do they?

52

We can measure success at leaving none behind

• The floor is certainly not all we care about, but we cannot continue to ignore it in monitoring poverty.

• Lowest observed consumption in a survey is not true floor. Lower bound of permanent consumption is what we are after:

where

• Success in assuring no one is left behind can be monitored from existing data sources under certain assumptions. – Beyond some y* there is no longer any chance of being the poorest

person in terms of latent permanent consumption.

– For those living below y* the probability of observed consumption being the true lower bound of permanent consumption falls monotonically as observed consumption rises until y* is reached.

• For linear:

53

n

iii yyyyE

1

min )()( )Pr()( minyyy ii

)/1()( ***min PGSPGyyyE )( iy

Ravallion, Martin, 2016, “Are the World’s Poorest Being Left Behind?,” Journal of Economic Growth, 21(2): 139–164.

2.2: Empirical implementation

54

Yes, the poorest have been left behind!Fewer people living near the floor, but little change in the floor

55

0

2

4

6

8

10

12

0 10 20 30 40 50 60 70 80 90 100

Percentile

Ab

so

lute

ga

in 1

98

1-2

01

1 ($

pe

r p

ers

on

pe

r d

ay)

-40

-20

0

20

40

60

80

100

0 2 4 6 8 10 12 14 16 18 20

Pe

rce

nt o

f th

e p

op

ula

tio

n

Consumption or income per person ($ per day, 2005 prices)

1981

2011

Difference (2011-1981)

Rising absolute

inequality

Near zero gain at bottom

And globally it looks like this!Rising absolute inequality coming from top few %

Source: based on estimates by Lakner and Milanovic.56

0

10

20

30

40

50

60

70

0 10 20 30 40 50 60 70 80 90 100

Percentile of the global income distribution

Abso

lute

real g

ain

1988-2

008 (

$/p

ers

on/d

ay)

Much less progress in raising the

consumption floor

57

0

1

2

3

4

5

6

1980 1984 1988 1992 1996 2000 2004 2008 2012

Overall mean for

developing world

Consumption floor: expected level of lowest consumption

Mean consumption ($ per person per day)

$0.67 on average

No sign that the new

Millennium raised the floor

)/1()( ***min PGSPGyyyE

Falling floor in Middle-East and North Africa!

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1980 1984 1988 1992 1996 2000 2004 2008 2012

Exp

ecte

d v

alu

e o

f th

e c

on

su

mp

tio

n flo

or ($

pe

r d

ay)

Conclusions

59

Toward better global poverty measures

• Social effects on welfare imply that we require relative measures integrated into our poverty assessments. – We require lower and upper bounds to reflect the uncertainty.

– On calibrating the bounds to national poverty lines we find that:

1. By either bound, poverty is overwhelmingly found in the developing world. Purely relative poverty rate is now higher in developing world.

2. The developing world is making progress against poverty using either bound, and more so than the advanced countries.

• Leaving none behind requires that we can monitor progress in raising the consumption floor. Under certain assumptions, this is feasible with current data.

60

Further reading:

Martin Ravallion, The Economics of

Poverty: History, Measurement and

Policy, Oxford University Press, 2016

economicsandpoverty.com

Thank you for your attention!

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