Determinantes microeconómicos de la pobreza multidimensional en la República Dominicana
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Date
Subject
Multidimensional Poverty
Microeconomic Indicators and Social.
JEL Classification codes
B21
C23
I32.
pobreza multidimensional
indicadores microeconómicos
movilidad social
República Dominicana
Códigos del JEL
B21
C23
I32
Microeconomic Indicators and Social.
JEL Classification codes
B21
C23
I32.
pobreza multidimensional
indicadores microeconómicos
movilidad social
República Dominicana
Códigos del JEL
B21
C23
I32
Language:
Journal Title
Journal ISSN
Volume Title
Publisher
Instituto Tecnológico de Santo Domingo (INTEC)
En este trabajo se presenta el análisis sobre la evolución y los determinantes microeconómicos de la pobreza multidimensional para la República Dominicana durante el periodo noviembre-abril 20072015, utilizando como insumo la Encuesta Nacional de la Fuerza de Trabajo provista por el Banco Central de la República Dominicana. Se abarca la pobreza desde el enfoque de las capacidades de Amartya Sen y el método de pobreza multidimensional propuesto por la Comisión Económica América Latina y el Caribe (CEPAL) y el Departamento de Desarrollo Sostenible y Pobreza de la Universidad de Oxford (OPHI), que engloba dimensiones más allá del ingreso, tales como: condiciones de la vivienda, servicios básicos, estándar de vida y educación, que a su vez se subdividen, para un total de 15 carencias, considerando pobres a las personas que posean un 25% de estas privaciones. El estudio fue sustentado en modelos econométricos, con el objetivo de determinar la incidencia de variables socioeconómicas en la probabilidad de ser pobre. Se implementaron modelos de corte transversal y Pseudo-Panel para observar la evolución de la pobreza bajo el amparo de la metodología de (Deaton , 1995), agrupando por cohortes a un grupo de individuos con características similares e invariables a través del tiempo.
Analysis of the Evolution and Microeconomic Indicators of Multidimensional Poverty in the Dominican Republic (November-April 2007-2015), using the National Labor Force Survey provided by the Central Bank of Dominican Republic. Multidimensional Poverty is approached from both Amartya Sen´s capacities point of view and the method provided by the Economic Commission for Latin America and the Caribbean and the Department of Sustainable Development and Poverty of Oxford University. This is to include dimensions beyond income, such as tenement conditions, basic services, living standard and education. These subdivide into a total of 15 deficiencies, considering a person is poor when they have 25% of these deficiencies. The investigation was sustained with econometric models to understand the incidence the socioeconomic variables have in the probability of a person being poor. Both the cross-sectional and Pseudo-Panel methods were implemented. This last one to observe the evolution of poverty trough Deaton´s method (1995), grouping by cohort individuals with similar characteristics that are invariable with time.
Analysis of the Evolution and Microeconomic Indicators of Multidimensional Poverty in the Dominican Republic (November-April 2007-2015), using the National Labor Force Survey provided by the Central Bank of Dominican Republic. Multidimensional Poverty is approached from both Amartya Sen´s capacities point of view and the method provided by the Economic Commission for Latin America and the Caribbean and the Department of Sustainable Development and Poverty of Oxford University. This is to include dimensions beyond income, such as tenement conditions, basic services, living standard and education. These subdivide into a total of 15 deficiencies, considering a person is poor when they have 25% of these deficiencies. The investigation was sustained with econometric models to understand the incidence the socioeconomic variables have in the probability of a person being poor. Both the cross-sectional and Pseudo-Panel methods were implemented. This last one to observe the evolution of poverty trough Deaton´s method (1995), grouping by cohort individuals with similar characteristics that are invariable with time.
Description
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/publishedVersion
Source
Science, Economy & Business; Vol 1 No 1 (2017): Science, Economics and Business; 189-226
Ciencia, Economía y Negocios; Vol. 1 Núm. 1 (2017): Ciencia, Economía y Negocios; 189-226
2613-8778
2613-876X
10.22206/ceyn.2017.v1i1
Ciencia, Economía y Negocios; Vol. 1 Núm. 1 (2017): Ciencia, Economía y Negocios; 189-226
2613-8778
2613-876X
10.22206/ceyn.2017.v1i1