Arbeitspapier
Testing for convergence clubs in income per-capita: A predictive density approach
The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data, conditional on the parameters of the model. The steady state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of income per-capita of OECD countries has two poles of attraction and each group has clearly identifiable economics characteristics.
- Sprache
-
Englisch
- Erschienen in
-
Series: HWWA Discussion Paper ; No. 139
- Klassifikation
-
Wirtschaft
Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
Bayesian Analysis: General
Micro-Based Behavioral Economics: General‡
- Thema
-
Heterogeneities
Panel Data
Predictive Density
Income Inequality
Entwicklungskonvergenz
Sozialprodukt
Statistische Verteilung
Theorie
OECD-Staaten
EU-Staaten
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Canova, Fabio
- Ereignis
-
Veröffentlichung
- (wer)
-
Hamburg Institute of International Economics (HWWA)
- (wo)
-
Hamburg
- (wann)
-
2001
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 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.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Canova, Fabio
- Hamburg Institute of International Economics (HWWA)
Entstanden
- 2001
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