Descomposición Estructural de las Series de Desempleo: Una Aplicación para las Ciudades de la Región del Bío Bío

Pino, Osvaldo and Contreras, Sergio and Acuña, Andrés (2007): Descomposición Estructural de las Series de Desempleo: Una Aplicación para las Ciudades de la Región del Bío Bío. Published in: Panorama Socioeconómico , Vol. 35, (December 2007): pp. 118-135.

Abstract

In this paper we characterize the unemployment rate for the main cities of the Bío Bío Region using the state-space multivariate approach, in order to isolate and evaluate their tendency and seasonal components. We present theoretical expressions for each structural model for monthly unemployment rate data which spans between I.1996 and XII.2005. We use an additive multivariate structural model for the cities of Chillán, Concepción, Gran Concepción and Talcahuano, an additive bivariant structural model for Coronel and Lota, and an additive univariate structural model for Arauco and Los Angeles. The main results show, firstly, that the estimated state-space approach models present a good explanation power (MAPE is less than 8 per cent for four cities); secondly, the hypothesis which states that seasonal peak levels for unemployment rate are related to cities strongly linked with the primary sector (raw materials) is verified, thirdly, quantifying the seasonal component for unemployment series in each city gives useful information to local policy-makers, because it can determine the optimal length for emergency employment plans.

• Item Type: MPRA Paper
• English Title: Structural decomposition for unemployment rate data: an application for the cities of Bío Bío Region, Chile
• Language: Spanish
• Keywords: unemployment, state-space, trend and seasonal components, multivariate structural model
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables > C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; E - Macroeconomics and Monetary Economics > E2 - Macroeconomics: Consumption, Saving, Production, Employment, and Investment > E24 - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; E - Macroeconomics and Monetary Economics > E2 - Macroeconomics: Consumption, Saving, Production, Employment, and Investment > E27 - Forecasting and Simulation: Models and Applications

References

Acuña, A. (2006). Desempleo y Actividad Económica Regional: Un Enfoque Cíclico, Taller de Empleo Regional, 23, marzo, pp. 14-47.

Albagli, E., García, P., Restrepo, J. (2004). Evaluación de la Flexibilidad del Mercado Laboral Chileno desde una Perspectiva Internacional, Economía Chilena, 7(2), agosto, pp. 27-45.

Banco Central de Chile (2003). Modelos Macroeconómicos y Proyecciones del Banco Central de Chile 2003. Disponible en http://www.bcentral.cl/esp/publ/politicas/polit05.htm .

Brockwell, P. J., Davis, R. A. (1996). Introduction to Time Series and Forecasting, Springer Texts in Statistics.

Durbin, J., Koopman, S. J. (2001). Time Series Analysis by State Space Methods, Oxford Statistical Science Series.

Gallego, F., Johnson, C. (2001). Teorías y Métodos de Medición del Producto de Tendencia: Una Aplicación al caso de Chile, Economía Chilena, 4(2), agosto, pp. 27-58.

Harvey, A. C. (1989). Forecasting, Structural Time Series Models and the Kalman Filter, Cambridge University Press.

Koopman, S. J., Harvey, A. C., Doornik, J. A., Shephard, N. (2000). STAMP: Structural Time Series Analyser, Modeller and Predictor, Timberlake Consultants Press.

Pino, O., Contreras, S., Pizzinga, A. (2006). Aplicación de la Metodología Espacio-Estado en el Análisis de las Series de Desempleo: Caso Región del Bío-Bío, Theoria, 15(1), pp. 65-78.

Solera, A. (2003). El Filtro de Kalman, Banco Central de Costa Rica, División Económica, Departamento de Investigaciones Económicas, DIE - 02 - 2003 - NT, Nota técnica, julio.