Applying the technique of principal components analysis of poverty in Honduras

Authors

  • Mirta Macías Ruano Profesora universitaria, Carrera de Economía, Coordinadora Regional de Investigación UNAH-Valle de Sula

DOI:

https://doi.org/10.5377/rct.v0i16.2181

Keywords:

synthetic indicators, poverty and analysis of main components

Abstract

The main goal in this research was to identify the main factors associated with poverty due to the application of principal component analysis (PCA). This exploratory analysis technique discovers the relationships between variables and according to the results, propose the most appropriate statistical analysis. In addition, this technique reduces considerably the number of variables into few components that synthesize the variations of the analyzed phenomenon. The methodology used is characterized as quantitative, using data from the Permanent Survey on Multi purpose housing for the following: 2001, 2005 and 2010, during the month of September. The scope used can be defined as correlational with a non-experimental transactional design. The ACP results indicate that poverty in Honduras is not only characterized by economic factors, but those related to human capital formation, demographic characteristics, the labor market and the living conditions of households.

Revista Ciencia y Tecnologia No. 16, Junio 2015: 82-96

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Published

2015-11-08

How to Cite

Macías Ruano, M. (2015) “Applying the technique of principal components analysis of poverty in Honduras”, Jornual of Science and Technology, (16), pp. 82–96. doi: 10.5377/rct.v0i16.2181.

Issue

Number 16, June 2015

Section

Physical Mathematics

License

© Revista Ciencia y Tecnología

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