ANÁLISIS ECONOMÉTRICO DE LAS TASAS DEL PARO JUVENIL ANDALUZ
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2020-12
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Jaén: Universidad de Jaén
Resumen
El objetivo de este trabajo se centra en el estudio del paro juvenil en Andalucía. Para ello, se analiza la serie temporal
de las tasas del paro andaluz según sexo y en un período comprendido entre los años 2002 y 2020. Para realizar dicho
análisis, se utilizan técnicas estadísticas descriptivas e inferenciales. En primer lugar, se describe la fuente de los datos
utilizados en el trabajo, seguidamente se analizan los datos con técnicas descriptivas (tablas de frecuencias y
diagramas de barras) e inferenciales (contrastes de hipótesis paramétricos y no paramétricos). Para finalizar se ajusta
un modelo ARIMA de series temporales siguiendo la metodología de Box-Jenkins, con el objetivo de realizar
predicciones fiables sobre la tasa del paro andaluz. Los resultados muestran resultados sorprendentes, sobre todo
detectan diferencias significativas entre las tasas de paro juvenil según sexo, en el periodo comprendido entre 2002 y
2009, que no se detectan después.
The aim of this work is focused on the study of youth unemployment in Andalusia. To do this, the time series of Andalusian unemployment rates are analyzed according to sex, and in a period between the years 2002 and 2020. To carry out the analysis, descriptive and inferential statistical techniques were used. Firstly, the source of the data used in the work is described, then they are analyzed with descriptive techniques (frequency tables and bar diagrams) and inferential techniques (parametric and non-parametric hypothesis tests). Finally, an ARIMA time series model is fitted following the Box-Jenkins methodology, with the goal of making reliability predictions about the Andalusian unemployment rate. Surprisingly, the results show significant differences between youth unemployment rates according to sex, in the period between 2002 and 2009, which are not found after.
The aim of this work is focused on the study of youth unemployment in Andalusia. To do this, the time series of Andalusian unemployment rates are analyzed according to sex, and in a period between the years 2002 and 2020. To carry out the analysis, descriptive and inferential statistical techniques were used. Firstly, the source of the data used in the work is described, then they are analyzed with descriptive techniques (frequency tables and bar diagrams) and inferential techniques (parametric and non-parametric hypothesis tests). Finally, an ARIMA time series model is fitted following the Box-Jenkins methodology, with the goal of making reliability predictions about the Andalusian unemployment rate. Surprisingly, the results show significant differences between youth unemployment rates according to sex, in the period between 2002 and 2009, which are not found after.