Abstract

GONZALEZ, Lorena Leticia; GOMEZ MARTINEZ, Luis Antonio  and  MARTIN, María Cristina. Comparative study by classification methods for the analysis of unemployment in the departments of the eastern region of Paraguay. Rep. cient. FACEN [online]. 2022, vol.13, n.2, pp.122-130. ISSN 2222-145X.  https://doi.org/10.18004/rcfacen.2022.13.2.122.

The problem of classification of objects into groups or known populations are great interest in statistics, for this reason, various techniques have been developed to fulfill this purpose. This work tends to identify the risk factors that influence on job insecurity of Paraguayan population; it was adopted on the basis of the Permanent Household Survey 2011. The effect of the predictive variables (age, sex, marital status education level, relation- ship to head of household, apartment, area, branch and last job category) on the respondent labor situation was estimated through Logistic Regression Analysis and Classification Trees. The analysis of the logistic regression and classification trees results conclude that the variables of sex, marital status, education level and household head status strongly influence on person unemployed probability. It is expected that the results of the comparative study through classification methods are of great value to researchers of Labor Economics, considering that unemployment is one of the problems that most affect Paraguayan society.

Keywords : Unemployment; Logit Model; Classification Trees.

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