ch 5 Flashcards
(33 cards)
Distribution and Development: Eight
Critical Questions
- How can we best measure inequality and poverty?
- What is the extent of relative inequality in developing countries; how is this related to the extent of poverty?
- Who are the poor, and what are their economic characteristics?
- What determines the nature of economic growth—that is, who benefits from economic growth, and why?
- Are rapid economic growth and more equal income distribution compatible or conflicting objectives?: Is rapid growth achievable only at a cost of greater income inequality or can lessening income disparities contribute to higher growth rates?
- Do the poor benefit from growth, and does thisndepend on the type of growth a developing country experiences? What might be done to help the poor benefit more?
- What is so bad about extreme inequality?
- What kinds of policies are required to reduce the magnitude and extent of absolute poverty?
Measuring Inequality (enu)
— Size distributions (quintiles, deciles)
— Lorenz curves
— Gini coefficients and aggregate measures of inequality
— Functional distributions
inequality measures should not depend on size of the economy – want a measure of income dispersion
Scale independence:
measure should not depend on who has higher income; e.g. whether we believe the rich or poor to be good or bad people
Anonymity:
an inequality measure should not be based on the number of income recipients
Population independence principle
all other incomes constant, if transfer income from a richer to a poorer person (not so much that the poorer person is now richer than the originally rich person), resulting new income distribution is more equal.
Transfer principle
Gini coefficient satisfies all four properties; so does the coefficient of variation (CV), and some others
5.2 Measuring Absolute Poverty
Headcount Index: H/N
Where H is the number of persons who are poor
and N is the total number of people in the
economy
Total poverty gap:
Where Yp is the absolute poverty line; and Yi the
income of the ith poor person
Desirable properties for poverty measures (enu)
Anonymity
Population independence
Monotonicity
Distributional sensitivity
Desirable Properties for Inequality Measures
Desirable properties for poverty measures:
Anonymity
Population independence
Monotonicity
Distributional sensitivity
Plus: the Focus Principle
As we will see, P2 has these properties
5.2 Measuring Absolute Poverty
Average poverty gap (APG):
Where N is number of persons in the economy
TPG is total poverty gap
Note: normalized poverty gap, NPG = APG/Yp
5.2 Measuring Absolute Poverty
Measuring Absolute Poverty
Average income shortfall (AIS):
Where H is number of poor persons
TPG is total poverty gap
Note: Normalized income shortfall, NIS = AIS/Yp
5.2 Measuring Absolute Poverty
The Foster-Greer-Thorbecke (FGT) index:
N is the number of persons, H is the number of
poor persons, and α ≥0 is a parameter
When α=0, we get the headcount index measure
When α=2, we get the “P2” measure
5.2 Measuring Absolute Poverty
The Newly Introduced Multidimensional
Poverty Index
Following Amartya Sen’s capability approach, it is apparent that, in general, poverty needs to be conceptualized – and so measured – in a multidimensional way
is consistent with modern sector enlargement growth, but not traditional or modern sector enrichment growth
Kuznets’ Inverted-U Hypothesis
5.4 Absolute Poverty: Extent and Magnitude
Progress on Extreme Poverty
Clear progress on $1.25-a-day headcount
Less clear progress on $2.00-per-day headcount
(see Figure 5.14)
Incidence of extreme poverty is uneven
Relationship between Growth and Poverty
Association between growth and poverty
reduction
When it is inclusive, growth reduces poverty
Lower extreme poverty may also lead to higher
growth
5.4 Absolute Poverty: Extent and Magnitude
Poor health, nutrition, and education lowers
economic productivity of people in poverty,
leading directly and indirectly to slower
growth
Higher income for the poor raises demand for
locally produced goods
Often, the poor lack access to credit, which
constrains entrepreneurship, children’s
education, and fertility reduction
Social exclusion/injustice associated with
poverty also leads to bad government policies
that can reduce growth
Identification of poverty status through a dual cutoff:
The Multidimensional Poverty Index
(MPI)
First, cutoff levels within each dimension (analogous to
falling below a poverty line for example $1.25 per day
for income poverty);
Second, cutoff in the number of dimensions in which a
person must be deprived (below a line) to be deemed
multidimensionally poor.
The Multidimensional Poverty Index
(MPI)
focuses on deprivations in health, education, and standard of living; and each receives equal (that is one-third of the overall total) weight.
The Multidimensional Poverty Index
(MPI)
MPI Indicators
Health - two indicators with equal weight - whether any child
has died in the family, and whether any adult or child in the
family is malnourished –weighted equally (each counts as
one-sixth toward the maximum deprivation in the MPI)
Education - two indicators with equal weight - whether no
household member completed 5 years of schooling, and
whether any school-aged child is out of school for grades 1
through 8 (each counts one-sixth toward the MPI).
Standard of Living, equal weight on 6 deprivations (each
counts as 1/18 toward the maximum): lack of electricity;
insufficiently safe drinking water; inadequate sanitation;
inadequate flooring; unimproved cooking fuel; lack of more
than one of 5 assets – telephone, radio, TV, bicycle, and
motorbike.
Interaction of the deprivations?
Building the index from household measures up to the
aggregate measure (rather than using
already-aggregated statistics), MPI approach takes
account of multiplied or interactive harm
(complementarity) done when multiple deprivations are
experienced by the same individual or family
The MPI approach assumes an individual’s lack of
capability in one area can only to a degree be made up
by other capabilities – capabilities are treated as
substitutes up to a point but then as complements.
If a person already identified as poor becomes deprived in another indicator she is measured as even poorer - not the case using a simple headcount ratio.
Dimensional monotonicity: