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OPHI Oxford Poverty & Human Development Initiative Department of International Development Queen Elizabeth House, University of Oxford www.ophi.org.uk. Multidimensional Measurement of Poverty 16 June 2008. India: Dataset. National Family Health survey 2005/6 dataset N= 79,380 - PowerPoint PPT Presentation
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OPHIOxford Poverty & Human Development InitiativeDepartment of International DevelopmentQueen Elizabeth House, University of Oxford www.ophi.org.uk
Multidimensional Measurement of Poverty
16 June 2008
India: Dataset
National Family Health survey 2005/6 dataset N=79,380
We are using the data for rural areas only (N=43,789)
Here we are comparing M0 with BPL status, which is available only for rural populations.
Later we will compare a different M0 (with empowerment) with national income poverty.
India: ComparisonsComparison Indicators:1) Income Poverty Line (drawn from NSS dataset)2) Whether or not respondent possesses a ‘Below
the Poverty Line (BPL)’ card. (available for rural only)
BPL: 13 dimensions, 5 responses 0-4. Aggregate across domains (total score out of 52) and set a poverty cutoff across that by area.
2 criticisms of BPL (2002 BPL Census – proxy targeting):1) data quality subject to corruption2) construction of index arbitrary (cardinal, = wts)
Jalan & Murgai 07, Sundaram 03 EPWMisclassification of 49% (AP, 75%)
roffcut
jiji SIS
13
1
India: Comparison M0 and BPL
M0 (10, equal wts) BPL Indicators (13, equal weights)Land and House Ownership How much land do you own?
Dwelling Structure What kind of house do you have?
Food Habits How much food do you have?
Sanitation Facility Bathroom Access
Assets Consumer goods you own
Maximum HH Education Maximum education in the family
How many clothes do you have?
Existence of Child Labor Labor status in the family
Occupation Livelihood situation
Status of Children The status of children in the family
Have a Bank Account What kind of loans do you have?
Migration in the family
What do you want from the Government?
Indicators & Cutoffs (from BPL)
Variable Poverty ThresholdLand and House Ownership Land holding < 1 Bigha and does not own a house
Dwelling Structure Kaccha house (made of mud and low quality material)
Food HabitsNever or infrequently consume pulse or beans or dard green leafy veggie, and never or occasionally consume any protein
Sanitation FacilityIf the facility is Pit Latrine – without slab, No Facility – uses bush/fiend, composting toilet, dry toilet, others
AssetsDoes not have any of the following – TV, refrigerator, motorcycle, car, mattress, chair, table, computer
Maximum HH Education If highest education level in family < 5th grade
Existence of Child Labor UNICEF guidelines
OccupationThe whole family labor status is (Agricultural laborer) or (Plantation laborers) or (Laborers) or (Other (new workers seeking job) or (None (workers not reporting))
Status of Children
if at least one child aged between 5-18 in the family does not attend school due to the following reasons – (Required for household work) or (Required for work on farm) or (Required for outside work) or (Costs too much) or (Required for care of sibling) or (Other)
Have a Bank Account Does not have one
% of Households Deprived Indicator Number H
Land & House Own 2145 5%
Dwelling Structure 8123 19%
Food Habits 4849 11%
Sanitation Facility 33559 77%
Assets 12542 29%
Maximum HH Education
Existence of child labor
Occupation
Child Status
Have bank account
13112
6030
13499
3882
29126
30%
14%
31%
9%
66%
H and M0 for different k values
k
# of
Poor H M0
On average
poor in…
1 40027 91% .29 3.2
2 33419 76% .27 3.6
3 24872 57% .24 4.1
4 16081 37% .18 4.8
5 8320 19% .10 5.5
6
7
8
9
10
3218
803
113
13
0
7%
2%
0
0
0
.05
.01
.00
.00
.00
6.3
7.2
8.2
9.0
10
M0 Example:
• With equal weights
• With k = 4
• Compared to BPL and Income Poverty
• Decomposed by State
• Decomposed (after k applied) by Dimension
Also, Raj. & HP – BPL quex is accurate
AP: Murgai found 75% error in non-poor
Statewise Decomposition – examplesHP: All relatively close (rank -3)
AP: BPL>>M0 (rank -12)Rajasthan: M0>>BPL (rank +19)
(BPL, not decomposable)