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Artículo

Dynamic regression models with stochastic trends: an application to the unemployment -growth relation

Abril, Juan CarlosIcon
Fecha de publicación: 05/2003
Editorial: Pakistan Journal of Statistics
Revista: Pakistan Journal of Statistics
ISSN: 1012-9367
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Economía, Econometría

Resumen

The form in which the national product affects the level of unemployment has become one of the most relevant macroeconomic subjects. A simple form of measuring the relation between the increase (decrease) of the national product and the decrease (increase) of the unemployment rate is explained by the so called ``Okun Law´´, according to which it is not expected, except under very special conditions, that each point of increase of the product results in a point of increase of the employment and, consequently, a fall of one point in the unemployment rate. The relation between growth and unemployment is much more complex and can be resumed in the following equation ut  - ut-1 = - r (gt - ct), where ut is the unemployment rate, gt the percentage growth of the product and ct represents the percentage growth of the product that it is needed to maintain the unemployment level of the previous period. One of our objectives is to estimate ct .
Palabras clave: STYLIZED FACTS , KALMAN FILTERING , GROWTH , UNEMPLOYMENT
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/105977
URL: http://www.pakjs.com/1985-to-2016/
Colecciones
Articulos(CCT - NOA SUR)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - NOA SUR
Citación
Abril, Juan Carlos; Dynamic regression models with stochastic trends: an application to the unemployment -growth relation; Pakistan Journal of Statistics; Pakistan Journal of Statistics; 19; 2; 5-2003; 175-198
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