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Unit root and cointegration tests for cross-sectionally correlated panels. Estimating regional production functions Author info | Abstract | Publisher info | Download info | Related research | Statistics Roberto Basile (ISAE - Institute for Studies and Economic Analyses and University of Macerata)
Mauro Costantini () (ISAE - Institute for Studies and Economic Analyses and University of Rome "La Sapienza")
Sergio Destefanis (University of Salerno)
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This paper employs recently developed non stationary panel methodologies that assume some cross-section dependence to estimate the production function for Italian regions in the industrial sector over the period 1970-1998. The analysis consists in three steps. First, unit root tests for crosssectionally dependent panels are used. Second, the existence of a cointegrating relationship between value added, physical and human capital variables is investigated. The Dynamic OLS (DOLS) and Fully modified (FMOLS) estimators developed by Pedroni (1996, 2000, 2001) and the Panel Dynamic OLS (PDOLS) estimator proposed by Mark and Sul (2003) are then used to estimate the long run relationship between the variables considered.
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Paper provided by ISAE - Institute for Studies and Economic Analyses - (Rome, ITALY) in its series ISAE Working Papers with number
53.
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Length: 37 pages
Date of creation: Jun 2005Date of revision:
Handle: RePEc:isa:wpaper:53Contact details of provider: Postal: Piazza dell'Indipendenza, No. 4, 00185 Rome Fax: +39-06-44482219 Email: Web page: http://www.isae.it More information through EDIRC
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Keywords: Panel Cointegration ; Cross-section Dependence ; Production ; Other versions of this item:
Paper Roberto Basile & Sergio Destefanis & Mauro Costantini, 2005.
"Unit root and cointegration tests for cross-sectionally correlated panels - Estimating regional production functions ,"
ERSA conference papers
ersa05p171, European Regional Science Association.
[Downloadable!] Roberto Basile, Mauro Costantini, Sergio Destefanis, 2005.
"Unit root and cointegration tests for cross-sectionally correlated panels. Estimating regional production functions ,"
CELPE Discussion Papers
94, CELPE (Centre of Labour Economics and Economic Policy), University of Salerno, Italy.
[Downloadable!] Find related papers by JEL classification: C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Floro Ernesto Caroleo – Gianluigi Coppola, 2005.
"The Impact of the Institutions on Regional Unemployment Disparities ,"
CELPE Discussion Papers
98, CELPE (Centre of Labour Economics and Economic Policy), University of Salerno, Italy.
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