DASP

Distributive Analysis Stata Package

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DASP Pro-poor Modules

IPROPOOR

 

 

 

 

To estimate FGT pro-poor indices and its standard error taking full account of survey design. Indices are:

 

[1] Chen and Ravallion index (2003);
[2] Kakwani & Pernia (2000) index ;
[3] Kakwani, Khandker and Son (2003) -PEGR- index.

 

   

GICUR

 

 

To draw the growth incidence curve and its confidence interval.

 

   

CPROPOORP

 

 

To estimate absolute and relative pro-poor curves with the primal approach.

 

   
CPROPOORD To estimate absolute and relative pro-poor curves with the dual approach.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Detailed description:

Let the following notation:

Q(p) : quantile at percentile p.
GL(p) : generalised Lorenz at percentile p.
mu : average income.

[1] First-order absolute pro-poor curves
Select one of the two curves:

DELTA(p) = Q_2(p) - Q_1(p)
Or
DELTA(p) = ( Q_2(p) - Q_1(p) ) / Q_1(p)


[2] Second-order absolute pro-poor curves

Select one of the two curves:

DELTA(p) = GL_2(p) - GL_1(p)
Or
DELTA(p) = ( GL_2(p) - GL_1(p) ) /GL_1(p)

[3] First-order relative pro-poor curves
Select the curve:

DELTA(p) = Q_2(p)/Q_1(p) - mu_2/mu_1

[4] Second-order relative pro-poor curves

Select the curve:

DELTA(p) = GL_2(p)/GL_1(p) - mu_2/mu_1

 

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