Exercise 1.4
Using again the same file AGGR-7, decompose poverty across the sex of the household head SEX by using EXPCAP and TTEXP and their associated poverty line used in questions ex-1.1 and ex-1.2. Discuss..

Answer
STEP 1: Initialising  the sampling weight: EDIT|Set Sample Design

 

  • After choosing the appropriate variable(s), click on  the button OK.

STEP 2: Use the DAD Application: DECOMPOSITION|FGT : Decomposition by groups

  • After choosing the appropriate variable(s) and parameters, click on the  Compute button.

RESULTS
 

FGT (Poverty Decomposition)

Session Date Tue Jul 06 09:15:38 EDT 2004
Execution Time 0.047 sec
FileName AGGR-7.daf
OBS 1000
Variable of interest EXPCAP
Size variable SIZE
Group variable SEXE
Group Number 1-2-3
alpha 0
Estimate 0.63233978
  (0.02297149)
Poverty Line 373.00000000
  (0.00000000)

Group #

Estimate

Proportion

Relative Contribution

Absolute Contribution

1

0.64996016
0.88770700
0.91244322
0.57697415
 
(0.02470129)
(0.01217621)
(0.01557062)
(0.02446533)

2

0.49000558
0.11162376
0.08649822
0.05469626
 
(0.05447216)
(0.01215296)
(0.01552519)
(0.00972312)

3

1.00000000
0.00066927
0.00105841
0.00066927
 
(0.00000006)
(0.00067008)
(0.00106069)
(0.00067008)

TOTAL

---
1.0
1.0
0.63233978
 
 
(0.00)
(0.00)
(0.02297149)

 
STEP 3: Select again the appropriate variables and parameter values.

 
  • After choosing the appropriate variable(s) and parameters, click on the  Compute button.

 

RESULTS
 

FGT (Poverty Decomposition)

Session Date Thu Jul 08 12:16:17 EDT 2004
Execution Time 0.078 sec
FileName AGGR-7.daf
OBS 1000
Sampling Weight WHHLD
Variable of interest TTEXP
Size variable Without size
Group variable SEXE
Group Number 1-2-3
Option Normalised = NO
Parameter α= 0
Estimate 0,63276297
  (0,02003080)
Poverty Line 2515,29003906
  (0,00000000)

Group #

Estimate

Proportion

Absolute Contribution

Relative Contribution

1

0,61529177
0,82891023
0,51002163
0,80602318
 
(0,02259293)
(0,01536855)
(0,02134998)
(0,02131333)

2

0,71510702
0,16971229
0,12136246
0,19179766
 
(0,04040343)
(0,01532451)
(0,01386845)
(0,02123913)

3

1,00000000
0,00137841
0,00137841
0,00217840
 
(0,00000000)
(0,00137846)
(0,00137846)
(0,00217814)

TOTAL

---
1.0
0,63276297
1.0
 
 
(0.00)
(0,02003080)
(0.00)