Arbeitspapier

Convergence in European GDP Series

Convergence in gross domestic product series of five European countriesis empirically identified using multivariate time series models that arebased on unobserved components with dynamic converging properties.We define convergence in terms of a decrease in dispersion over timeand model this decrease via mechanisms that allow for gradualreductions in the ranks of covariance matrices associated with thedisturbance vectors driving the unobserved components of the model.The inclusion of such convergence mechanisms within the formulation ofunobserved components makes the identification of various types ofconvergence possible.The common converging component model isestimated for the per capita gross domestic product of five Europeancountries: Germany, France, Italy, Spain and the Netherlands. It is foundthat convergence features in trends and cycles are present and areassociated with some key events in the history of European integration.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. 03-031/4

Klassifikation
Wirtschaft
Estimation: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Business Fluctuations; Cycles
Thema
Common trends and cycles
dynamic factor model
economic convergence
Kalman filter
multivariate unobserved components time series models
Entwicklungskonvergenz
Nationaleinkommen
Zeitreihenanalyse
Deutschland
Frankreich
Italien
Spanien
Niederlande
Zustandsraummodell

Ereignis
Geistige Schöpfung
(wer)
Luginbuhl, Rob
Koopman, Siem Jan
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2003

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Luginbuhl, Rob
  • Koopman, Siem Jan
  • Tinbergen Institute

Entstanden

  • 2003

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