DASP

Distributive Analysis Stata Package

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     DASP Modules

DASP: New Modules and Options in version 2.0

 

Modules

DFGTGR

 

 

 

To decompose the variation in FGT index between two periods into growth and redistribution
components. Approaches of decomposition are: (see the detailed description bellow).
  1. The Datt and Ravallion approach (1991).
  2. The Shapley approach.
   
DTCPOV

 

 

 

To decompose poverty into transient and chronic components
  1. The Jallan and Ravallion (1998) approach.
  2. The Duclos, Araar and Giles (2006) approach.
IPOLAR Estimates the Duslos, Esteban and Ray - DER- (2004)index and its standard errors taking full account of survey design.
   
DIPOLAR Estimates the difference between DER indices and its standard error taking full account of survey design.
   

EFGTG

FGT-Elasticity with respect to the within/between group components of inequality.

   

EFGTC

 

FGT-Elasticity with respect to the within/between income components of inequality.

   
Options

·      The user can specify the title of the graph and the labels for the X/Y axes for 3D graphs in the following applications:

 

§                SJDENSITY        Produces a bivariate density in the form of a two-dimensional surface.

§                SJDISTRUB        Produces a bivariate distribution function in the form of a two-dimensional surface.

§                DOMBDPOV      Estimate differences between bi-dimensional multiplicative FGT poverty indices.

 

·      The user can save results in an Excel format in English or in French for the following applications:

 

§               DFGTG              Decomposes FGT poverty indices by groups and provides standard errors on various elements of the decompositions.

§               DENTROPYG     Decomposes generalized entropy indices of inequality by groups and provides standard errors on elements of the decompositions.

§               DIGINIS              Decomposes the Gini index by income sources.

§               DIGINIG              Decomposes the Gini index by population sub-groups

 

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