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Unit root and cointegration tests for cross-sectionally correlated panels. Estimating regional production functions

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • Roberto Basile & Mauro Costantini & Sergio Destefanis, 2005. "Unit root and cointegration tests for cross-sectionally correlated panels. Estimating regional production functions," ISAE Working Papers 53, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  • Handle: RePEc:isa:wpaper:53
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    References listed on IDEAS

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    Cited by:

    1. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    2. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2008. "A Panel Unit Root and Panel Cointegration Test of the Modeling International Tourism Demand in India," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 8(1), pages 95-124.
    3. Prasert Chaitip & Chukiat Chaiboonsri, 2009. "A Panel Cointegration Analysis: Thailand’s International Tourism Demand Model," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(1), pages 129-142.
    4. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.

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    More about this item

    Keywords

    Panel Cointegration; Cross-section Dependence; Production;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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