Program (reference year)
Cost
(GDP)
N.
Beneficiaries
Monthly
subsidy ($)
Chile Solidario (Chile 2005) 0.08%
256.000
families
8 - 21 $
depending on
poverty
intensity
Oportunidades (México,
2006)
0.40%
5 million
families
(18% of pop)
12 - 74 $
depends on
educ. level
17$ family
health
Bono desarrollo umano
(Ecuador 2005)
0.60%
5 million
people
(40% of pop)
15 $
Familias en accion
(Colombia 2007)
0.20%
1.7 million
families
8 - 33 US$ (educ
subsidy/child)
30 US$ (health
subsidy/ family)
Source: Authors’ compilation on Fiszbein and Schady (2009) and Bouillon and Tejerina (2007).
- Regression Analysis
3.A. Dataset and matrix of correlation coefficients
To test the relative importance of the sources of inequality declines
discussed in Part 3, and to verify the hypothesis that such declines
were stronger in LOC countries (in addition to the effect of the
specific policies introduced) it was necessary to compile a dataset on
Income Distribution in Latin America (IDLA). IDLA includes
annual observations for 18 Latin American countries^54 , the years
1990-2007 and large number of variables, including those used in
regression analysis (Table 11). The database includes 324 (18x18)
cells for each variable, though missing data reduce the number of
non-zero cells by almost a third. The dependent variable is the Gini
(^54) The countries included in the dataset represent the near totality of the
population and GDP of the region. They are: Argentina, Bolivia, Brazil, Chile,
Colombia, Costa Rica, Dominican Republic, El Salvador, Ecuador, Guatemala,
Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, and Venezuela.