Application of state space models to model unemployment rate data in Metropolitan Lima
Descripción del Articulo
The dynamics of the unemployment rate over time reflects the performance of the labor market, one of the most important determinants of well-being in any economy. The unemployment rate is one of the main indicators used to analyze the prosperity and economic situation of a country, and also allows a...
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad Nacional de Ingeniería |
Repositorio: | Revistas - Universidad Nacional de Ingeniería |
Lenguaje: | español inglés |
OAI Identifier: | oai:oai:revistas.uni.edu.pe:article/1077 |
Enlace del recurso: | https://revistas.uni.edu.pe/index.php/iecos/article/view/1077 |
Nivel de acceso: | acceso abierto |
Materia: | tasa de desempleo modelo de espacio de estados modelo de estructura básica filtro de Kalman muestreo estimador Horvitz-Tompson Unemployment rate state space model basic structure model trend, Kalman filter, sampling, Horvitz-Tompson estimator |
Sumario: | The dynamics of the unemployment rate over time reflects the performance of the labor market, one of the most important determinants of well-being in any economy. The unemployment rate is one of the main indicators used to analyze the prosperity and economic situation of a country, and also allows analyzing the economy from two perspectives: the first from the supply side and from the demand side. In this research we are going to analyze the dynamics of unemployment in Metropolitan Lima.For this purpose, we will use the data from the Permanent Employment Survey - EPE from 2002 to 2018 to calculate the monthly unemployment rates. We are interested in studying the development dynamics of the unemployment rate in Metropolitan Lima, and also in comparing the development dynamics ofthe said rate in different cones, men and women, and also the dynamics in different age groups. The main objective of our research is to study the dynamics of unemployment rates in different social groups to identify possible problems of inequality of opportunities in the same groups, and to explain the economic and social roots that generate this inequality. To estimate the monthly unemployment rates and their respective variances we use the Horvitz-Tompson estimator. To analyze the dynamics of the series we adjust the basic structure model, which is a special case of state space models. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).