DASP

Distributive Analysis Stata Package

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     DASP Modules

DASP Distributive Curve Modules

CLORENZ

 

 

 

 

 

 

Produces the following curves for a given list of variables:

  • Lorenz curves;

  • Generalized Lorenz curves;

  • Absolute Lorenz curves;

  • Concentration curves;

  • Generalized concentration curves;

  • Absolute concentration curves;

  • Deficit share curves;

  • Differences between curves.

CLORENZS

 

 

 

 

Produces the following curve with confidence interval

  • Lorenz curves;

  • Generalized Lorenz curves;

  • Concentration curves;

  • Generalized concentration curves.

CLORENZSM

 

 

 

 

Produces the following curves with confidence interval

  • Lorenz curves;

  • Generalized Lorenz curves;

  • Concentration curves;

  • Generalized concentration curves.

CLORENZS2D

 

 

 

Produces the difference between the following curve with confidence interval

  • (Generalized) Lorenz curves;

  • (Generalized) Concentration curves.

CFGT

 

 

Produces the following curves for a given list of variables:

  • Normalised FGT curves;

  • FGT curves.

CFGTS

 

 

 

Produces the following curve with confidence interval

  • Normalised FGT curves;

  • FGT curves.

CFGTSM

 

 

 

Produces the following curves with confidence interval

  • Normalised FGT curves;

  • FGT curves.

CFGTS2D

 

 

 

Produces the difference between the following curve with confidence interval

  • Normalised FGT curves;

  • FGT curves.

   
CPOVERTY

 

 

Produces the following curves for a given list of variables:

  • Poverty gap curves;

  • Cumulative poverty curves.

CDOMC

 

 

 

Produces the following curve with confidence interval

  • Normalised consumption dominance curves;

  • Consumption dominance curves.

CDOMC2D

 

 

 

Produces the difference between the following curve with confidence interval

  • Normalised consumption dominance curves;

  • Consumption dominance.

   

CPROG

 

 

 

 

 

 

 

 

 

 

 

 

 

 


The module cprog produces the progressivity curves (PR(p)) for a given list of variables (components).


Let x be a gross income.
. A tax t is Tax Redistribution (TR) progressive if:
. PR(p) = L_x(p) - C_t(p) > 0 for all p in ]0, 1[

. A transfer b is Tax Redistribution (TR) progressive if:
. PR(p) = C_b(p) - L_x(p) > 0 for all p in ]0, 1[

. A tax t is Income Redistribution (IR) progressive if:
. PR(p) = C_x-t(p) - L_x(p) > 0 for all p in ]0, 1[

. A transfer b is Income Redistribution (IR) progressive
. PR(p) = C_x+b(p) - L_x(p) > 0 for all p in ]0, 1[
 

   

CPROGBT

 

 

 

 

 

 

 

 

 

 

 

The module cprogbt produces the progressivity curves to check if the tranfer b is more progressive that the tax t.(components).


Let x be a gross income.
. A transfer B is more Tax Redistribution (TR) than the tax T if:
. PR(p) = C_b(p) + C_t(p)- 2L_x(p) > 0 for all p in ]0, 1[


. A transfer B is more Income Redistribution (IR) than the tax T if:
. PR(p) = C_x+b(p) - C_x-t(p) > 0 for all p in ]0, 1[
 

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