Arbeitspapier
Cluster analysis of panel datasets using non-standard optimisation of information criteria
Panel datasets have been increasingly used in economics to analyse complex economic phenomena. One of the attractions of panel datasets is the ability to use an extended dataset to obtain information about parameters of interest which are assumed to have common values across panel units. However, the assumption of poolability has not been studied extensively beyond tests that determine whether a given dataset is poolable. We propose an information criterion method that enables the distinction of a set of series into a set of poolable series for which the hypothesis of a common parameter subvector cannot be reject and a set of series for which the poolability hypothesis fails. The method can be extended to analyse datasets with multiple clusters of series with similar characteristics. We discuss the theoretical properties of the method and investigate its small sample performance in a Monte Carlo study.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Paper ; No. 535
Klassifikation
Wirtschaft
Hypothesis Testing: General
Statistical Simulation Methods: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Hypothesis Testing: General
Statistical Simulation Methods: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Thema
Panel datasets, Poolability, Information criteria, Genetic Algorithm, Simulated Annealing
Panel
Panel
Ereignis
Geistige Schöpfung
(wer)
Kapetanios, George
Ereignis
Veröffentlichung
(wer)
Queen Mary University of London, Department of Economics
(wo)
London
(wann)
2005
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:21 MESZ
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.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Kapetanios, George
- Queen Mary University of London, Department of Economics
Entstanden
- 2005
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