Title: Measurement of Poverty: a Case Study of Pakistan
1Measurement of Poverty a Case Study of Pakistan
- Ambar Narayan
- (World Bank)
- Regional Poverty Analysis and Monitoring Workshop
- Islamabad, Pakistan
- March 2002
2Role of Poverty Lines
- Poverty lines have an element of subjectivity
- E.g. the World Banks 1/day (PPP) poverty line
useful for comparing across countries - National poverty lines better suited to
individual countries - Consistency in defining poverty lines needed for
exploring poverty trends - Poverty lines only useful to measure consumption/
income poverty - Non-income dimensions equally important to
measure capability
3Outline of Presentation
- Choice of poverty lines
- Important issues different approaches
- Poverty lines used for Bank poverty studies for
Pakistan - Why the choice of this line
- Need for consistent poverty lines to examine
trends - Important issues in poverty measurement
- E.g. consumption aggregates, price adjustments
- Some results from poverty measurement
- Poverty trends issues of comparability between
surveys - Analysis using poverty estimates a few examples
4Choice of Poverty Lines
- Setting poverty line involves
- Defining a minimum bundle of goods/services
- identifying the cost of a minimum bundle
- Standard approach define household as poor if
their expenditure is insufficient to consume the
minimum bundle - How to define the minimum bundle
- Calorie-based approach minimum calorific
requirements are converted into minimum
expenditure requirements - Basic-needs approach cost of achieving a minimum
bundle of basic needs -- calorific needs and
other purchasable needs such as fuel, housing and
clothing
5Expenditure-Based Poverty Lines for Pakistan
- Calorie-based approach looking at food
expenditures only - Havinga et al (1989), Mahmood et al (1991)
- Cost of basic needs approach incorporating food
and non-food expenditures - Ercelawn (1991), Jafri (1999), FBS (2001)
- Fundamental similarity between these approaches
- The poverty line expenditure level corresponds to
the average or estimated expenditure of
households which consumes the minimum calorie
intake
6Expenditure-Based Poverty Lines (Contd.)
- Why should the cost of minimum bundle depend only
on calorie intakes ? - Food is the most important need ?
- Calorie intakes (actual/expected) is a good proxy
for all basic needs ? - Non-calorific needs hard to specify ?
- Alternative poverty line is the money value of a
bundle of commodities that represents a minimally
acceptable level of living selected a priori - Gazdar et al (1994), World Bank (1995) modified
from Ahmad (1993)
7Poverty Line Used by Bank Studies
- Defining a basic needs bundle (like Ahmad, 93)
requires intimate knowledge of the country - Pakistan one of the few developing countries
where this exercise has been undertaken - Comprehensive, but somewhat subjective process
- The proposed basic needs package consists of
food, clothing, housing, health, education,
transport, social interaction and recreational
facilities...Discussions were held with
professional economists in Federal Government,
Provincial Governments, Research Institutes and
Universities. A check list thus prepared was
rechecked with heads of different families. A
team of economists was constituted to arrive at
the quantum and value of each componential item
of various basic needs separately in the rural
and urban areas. These were rechecked with the
consumers in different areas (Ahmad, 93 p28)
8Poverty Line Used by Bank Studies
- Ahmads poverty line for a family of 2 adults 4
children (91-92 prices) - Rural Rs. 300 per capita out of which Rs. 150
allocated to food needs - Urban Rs. 419 per capita out of which Rs. 212
allocated to food needs - Adjustments made by Gazdar et al (1994) using
HIES (90-91) - Reducing the urban-rural food price differential,
using cost-of-living price deflator - Adjusting housing expenditures by estimating
expected rural and urban housing expenditure,
given non-housing expenditure equal to that in
the minimum required bundle - With adjustments, rural poverty line falls to Rs
296 per capita the urban line falls to Rs 334
9Further Adjustments to Poverty Line
- Poverty lines have to be adjusted for
inter-temporal price changes, and inter-province
price differences - Inter-temporal price changes we have used
inflation rates from CPIs - CPIs are only available sources for non-food
prices - Food inflation rates using household data over
the years do not yield substantive changes to
poverty lines - Poverty lines not adjusted for inter-province
price differences - Household expenditures adjusted for price
differences instead - Poverty lines adjusted by equivalence scale
- Into per equivalent adult terms, using Ahmads
equivalence scale (1 child 0.8 adult)
10Poverty Lines (Per Equivalent Adult) in Current
Rupees
1990-91 1992-93 1993-94 1996-97 1998-99
Urban 346 424 472 655 767
Rural 307 376 418 581 680
11More on the Basic Needs Poverty Line
- Comparison with calorie measures
- Regression analysis (for 90-91) reveals that the
rural and urban poverty lines correspond to per
capita calorie intake of 2250 (for a family of 2
adults and 4 children) and 1950 respectively - Comparison with consumption patterns
- Expenditure shares for food, housing and other
(90-91 HIES) for households 10 on either side of
the poverty line, compare well with the shares
implied by the construction of the poverty line - Comparison with other poverty lines
- Compares well with Naseem (77), Lanjouw (94)
10-20 higher than lines by Malik (94), Ercelwan
(91)
12Constructing Expenditure Aggregates
- Include those expenditures that correspond to
basic needs - Include expenditures on flow of utilities only
- Decisions on what to include and what not may
involve subjective judgments - Critical to maintain consistency in methodology
over time (across different household surveys)
13Consumption Aggregates in our Study
- Following items are included in household
consumption aggregates to determine poverty
status - Food Expenditure on consumed food items,
irrespective of whether they were paid for in
cash or not - Non-durable goods E.g. Fuel and lighting,
personal care articles and services, education,
health, recreation and reading, personal
transport and traveling, household laundry,
cleaning, apparel, footwear, housing, maintenance
and repair charges of household effects - Important items excluded
- Expenses on house, property, or any other tax,
fines - Purchase of durable goods
- Transfers paid out by household members
14Adjusting Consumption Aggregates for Price
Differences
- Methodology adopted
- Use food prices to construct household specific
price indices, separately for rural/urban - Deflate household expenditures by corresponding
price indices - Implicit assumption that differences in food
prices captures cost of living differences to a
high degree
15Comparing Poverty Across HIES (1990s) and PIHS
(98-99)
- Factors in favor of comparability of data across
years - Consistency in poverty lines and methodology for
measuring household expenditures - Consumption module almost unchanged across
surveys - Sample sizes and sampling methodology mostly
similar since 92-93 - Factors that may compromise comparability across
years - Change in recall period for some food items in
PIHS 98-99 - Change in sampling framework for rural areas in
PIHS 98-99 - Average household sizes higher in PIHS 98-99
- Differences large for lower expenditure deciles
in rural areas - Especially large differences for rural Sindh and
Balochistan
16Average Rural Household Sizes Across Surveys
Per Capita Exp Deciles HIES 1992-93 HIES 1993-94 HIES 1996-97 PIHS/HIES 1998-99
1 8.4 8.2 8.5 9.1
2 8.0 7.9 7.5 8.5
3 7.8 7.6 7.1 7.9
4 7.3 7.4 7.1 8.0
5 6.9 6.9 6.6 7.6
Total 6.3 6.3 6.1 6.8
17Our Poverty Estimates(FBS Estimates in
Parentheses)
18Poverty Trends in Pakistan
19Analysis with Poverty Estimates Examples
- Sensitivity analysis how poverty estimates
respond to shifts in poverty line - Additional insights from looking at distribution
of population around the poverty line - Relating poverty to growth and redistribution
- Growth-inequality decomposition of changes in
poverty rates - Measuring pro-poor growth
- Non-income/consumption dimensions of poverty
- Find associations between consumption poverty and
indicators of capability - Analysis of vulnerability (the prob. of falling
into poverty) - Measuring vulnerability finding factors that
determine vulnerability - Needs panel data ideally cohort level analysis
also possible using repeated cross-sections, like
HIES PIHS
20Sensitivity of Head Count to Poverty Line - I
21Sensitivity of Head Count to Poverty Line - II
22A Snapshot of Vulnerability? Distribution of
Population Around the Poverty Line
23Growth-Inequality Decomposition of Changes in
Poverty Estimates
- Measures the impact of changes in mean
consumption and distribution on poverty - Growth component how much of the change in
poverty measures is due to variation in mean
expenditure (per equiv adult) over time, holding
the distribution constant. - Redistribution component how much of the change
in poverty measures is due to a change in the
distribution of expenditure, holding the mean
expenditure constant
24Growth-Inequality Decomposition of Changes in
Poverty Measures between 90-91 and 98-99
25Final Messages
- Choice of poverty line remains a largely
subjective judgment - That said, any approach incorporating basic needs
(beyond calories) seems preferable in our opinion - More than the exact line that is chosen, it is
important to decide on a national poverty line - Choose a benchmark poverty line and update it
only for inflation - Comparability of surveys across years critical
for examining poverty trends - Dependent on a number of factors, e.g.
consistency in sampling framework,
questionnaires, methodology of field survey - Poverty estimates useful for a broad range of
analysis - Important to relate consumption poverty measures
to non-income/expenditure dimensions human
deprivation