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dc.contributor.author
Abril, Juan Carlos  
dc.date.available
2020-05-27T13:37:14Z  
dc.date.issued
2003-05  
dc.identifier.citation
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  
dc.identifier.issn
1012-9367  
dc.identifier.uri
http://hdl.handle.net/11336/105977  
dc.description.abstract
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 .  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pakistan Journal of Statistics  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
STYLIZED FACTS  
dc.subject
KALMAN FILTERING  
dc.subject
GROWTH  
dc.subject
UNEMPLOYMENT  
dc.subject.classification
Economía, Econometría  
dc.subject.classification
Economía y Negocios  
dc.subject.classification
CIENCIAS SOCIALES  
dc.title
Dynamic regression models with stochastic trends: an application to the unemployment -growth relation  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-05-05T16:10:52Z  
dc.journal.volume
19  
dc.journal.number
2  
dc.journal.pagination
175-198  
dc.journal.pais
Pakistán  
dc.journal.ciudad
Lahore  
dc.description.fil
Fil: Abril, Juan Carlos. Universidad Nacional de Tucumán. Facultad de Ciencias Económicas. Instituto de Investigaciones Estadísticas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; Argentina  
dc.journal.title
Pakistan Journal of Statistics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.pakjs.com/1985-to-2016/