DASP

Distributive Analysis Stata Package

DASP 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.

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