Applying the technique of principal components analysis of poverty in Honduras
DOI:
https://doi.org/10.5377/rct.v0i16.2181Keywords:
synthetic indicators, poverty and analysis of main componentsAbstract
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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