Arbeitspapier
Determining the poolability of individual series in panel datasets
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 a 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. We discuss its theoretical properties and investigate its small sample performance for a particular simple model in a Monte Carlo study.
- Language
-
Englisch
- Bibliographic citation
-
Series: Working Paper ; No. 499
- Classification
-
Wirtschaft
Hypothesis Testing: General
Statistical Simulation Methods: General
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
- Subject
-
Panel datasets, Poolability, Sequential testing
Statistischer Test
Panel
Monte-Carlo-Methode
Theorie
Varianzanalyse
- Event
-
Geistige Schöpfung
- (who)
-
Kapetanios, George
- Event
-
Veröffentlichung
- (who)
-
Queen Mary University of London, Department of Economics
- (where)
-
London
- (when)
-
2003
- Handle
- Last update
-
20.09.2024, 8:22 AM CEST
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Kapetanios, George
- Queen Mary University of London, Department of Economics
Time of origin
- 2003
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