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The present research aims to compare and improve the measurement and, therefore, the definition of what "middle class" represents, for a group of countries in Latin America, namely Colombia,Mexico, Peru, Brazil and Ecuador, using a methodology based on the expenditure of households, compared to...
Persistent link: https://www.econbiz.de/10010889004
En este documento se presenta un análisis de los determinantes del perfil de ahorro para hogares e individuos con el objetivo de contrastar la Hipótesis de Ciclo de Vida, utilizando la metodología expuesta en Deaton y Paxson (2000a y 2000b) con datos de la Encuesta Nacional de Ingresos y...
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Este trabajo analiza, estática y dinámicamente, los cambios en las condiciones de vida de los hogares en Colombia entre los años 1997 y 2003 mediante un indicador alternativo que incorpora aspectos de salud y el tiempo gastado en desplazamiento. Estas variables reducen la importancia otorgada...
Persistent link: https://www.econbiz.de/10005466498
We test the existence of changes in the relationship between fertility and schoolingin Colombia for women from 30 to 40 years old between 1995 and 2005. For ourpurpose, we use Poisson Regression Models. Our database is the Demographic andHealth Survey from 1995 and 2005. We found a reduction in...
Persistent link: https://www.econbiz.de/10005466562
This study examines the determinants of information and communications technology(ICT) use and access of low-income people in three developing countries: Colombia,Mexico and Peru. We focus on cross-country differences and similarities in ICTs use acrossgender, age, education and income, using...
Persistent link: https://www.econbiz.de/10005466563
This paper uses Colombian household survey data collected over the period 1984-2005 to estimate Gini coeficients along with their corresponding standard errors. We …find a statistically signi…cant increase in wage income inequality following the adoption of the liberalisation measures of the...
Persistent link: https://www.econbiz.de/10004980159
While PISA datasets have been used for measuring inequality of educational opportunity they have important limitations: (i) samples only cover a relatively limited fraction of developing countries’ cohorts of 15-year-olds, and (ii) such fractions are not uniform across countries and waves....
Persistent link: https://www.econbiz.de/10011098380