Konferenzbeitrag
Unit root and cointegration tests for cross-sectionally correlated panels - Estimating regional production functions
There is a plethora of studies of regional production functions using stationary panel data. Only some recent works consider non-stationary panel data. All of them assume the hypothesis of cross-section independence. Here, we claim that the independence assumption is too strong when regional data are used. In this paper, the cross-section independence assumption is released and cross-sectional dependence is assumed. First, unit roots and cointegration properties of the panel dataset are properly investigated by using newly developed tests for cross-sectionally dependent panels. Second, dynamic OLS (DOLS) and recent regression models for cross-sectionally correlated panels are used to estimate the cointegrated relationship between value added, physical and human capital, for Italian regions over the period 1970-1998.
- Sprache
-
Englisch
- Erschienen in
-
Series: 45th Congress of the European Regional Science Association: "Land Use and Water Management in a Sustainable Network Society", 23-27 August 2005, Amsterdam, The Netherlands
- Klassifikation
-
Wirtschaft
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Basile, Roberto
Destefanis, Sergio
Costantini, Mauro
- Ereignis
-
Veröffentlichung
- (wer)
-
European Regional Science Association (ERSA)
- (wo)
-
Louvain-la-Neuve
- (wann)
-
2005
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:46 MEZ
Datenpartner
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Objekttyp
- Konferenzbeitrag
Beteiligte
- Basile, Roberto
- Destefanis, Sergio
- Costantini, Mauro
- European Regional Science Association (ERSA)
Entstanden
- 2005
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