Arbeitspapier

Finding starting-values for maximum likelihood estimation of vector STAR models

This paper focuses on finding starting-values for maximum likelihood estimation of Vector STAR models. Based on a Monte Carlo exercise, different procedures are evaluated. Their performance is assessed w.r.t. model fit and computational effort. I employ i) grid search algorithms, and ii) heuristic optimization procedures, namely, differential evolution, threshold accepting, and simulated annealing. In the equation-by-equation starting-value search approach the procedures achieve equally good results. Unless the errors are cross-correlated, equation-by-equation search followed by a derivative-based algorithm can handle such an optimization problem sufficiently well. This result holds also for higher-dimensional VSTAR models with a slight edge for the heuristic methods. Being faced with more complex Vector STAR models for which a multivariate search approach is required, simulated annealing and differential evolution outperform threshold accepting and the grid with a zoom.

Sprache
Englisch

Erschienen in
Series: ZEW Discussion Papers ; No. 13-076

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Optimization Techniques; Programming Models; Dynamic Analysis
Computational Techniques; Simulation Modeling
Thema
Vector STAR model
starting-values
optimization heuristics
grid search
estimation
non-linearieties

Ereignis
Geistige Schöpfung
(wer)
Schleer, Frauke
Ereignis
Veröffentlichung
(wer)
Zentrum für Europäische Wirtschaftsforschung (ZEW)
(wo)
Mannheim
(wann)
2013

Handle
URN
urn:nbn:de:bsz:180-madoc-347917
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Schleer, Frauke
  • Zentrum für Europäische Wirtschaftsforschung (ZEW)

Entstanden

  • 2013

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