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Common Factors, spatial dependence, and regional growth in the Italian manufacturing industry

Author

Listed:
  • Carlo Ciccarelli

    () (University of Rome "Tor Vergata")

  • Stefano Fachin

    () ("Sapienza" University of Rome)

Abstract

We review the methods currently available for the analysis of regional datasets characterised by possible non-stationarity over time and both strong and weak spatial dependence and present, as a representative case study, a comparative analysis of the regional development of the Italian manufacturing industries in the second halves of the 19th and 20th centuries. For highly heterogenous datasets we suggest a two-stages approach: (1) fit a dynam factor model with endogenous determination of the number of factors; (2) estimate a spatial model for the de-factored data. Applying this strategy we find two similar non-stationary afctors sufficient to explain long-run growth of the whole set of series examined in both centuries. Further, the results suggest that some conditional spatial error correction mechanisms seem to have been in action in both centuries.

Suggested Citation

  • Carlo Ciccarelli & Stefano Fachin, 2017. "Common Factors, spatial dependence, and regional growth in the Italian manufacturing industry," DSS Empirical Economics and Econometrics Working Papers Series 2017/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  • Handle: RePEc:sas:wpaper:20171
    as

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    File URL: http://www.dss.uniroma1.it/RePec/sas/wpaper/20171_CF.pdf
    File Function: First version, 2017
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    References listed on IDEAS

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    1. Orphanides, Athanasios, 1996. "Optimal reform postponement," Economics Letters, Elsevier, pages 299-307.
    2. Cuesta, Rafael A. & Orea, Luis, 2002. "Mergers and technical efficiency in Spanish savings banks: A stochastic distance function approach," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2231-2247.
    3. Jose Pastor & Lorenzo Serrano, 2006. "The Effect of Specialisation on Banks' Efficiency: An International Comparison," International Review of Applied Economics, Taylor & Francis Journals, pages 125-149.
    4. Patrick Slovik, 2012. "Systemically Important Banks and Capital Regulation Challenges," OECD Economics Department Working Papers 916, OECD Publishing.
    5. Berger, Allen N. & Leusner, John H. & Mingo, John J., 1997. "The efficiency of bank branches," Journal of Monetary Economics, Elsevier, vol. 40(1), pages 141-162, September.
    6. Bernardo Maggi & Marco Guida, 2011. "Modelling non-performing loans probability in the commercial banking system: efficiency and effectiveness related to credit risk in Italy," Empirical Economics, Springer, pages 269-291.
    7. Jose Pastor & Lorenzo Serrano, 2005. "Efficiency, endogenous and exogenous credit risk in the banking systems of the Euro area," Applied Financial Economics, Taylor & Francis Journals, pages 631-649.
    8. Jose Pastor, 2002. "Credit risk and efficiency in the European banking system: A three-stage analysis," Applied Financial Economics, Taylor & Francis Journals, pages 895-911.
    9. Jose Pastor & Lorenzo Serrano, 2005. "Efficiency, endogenous and exogenous credit risk in the banking systems of the Euro area," Applied Financial Economics, Taylor & Francis Journals, pages 631-649.
    10. Gallant, A. Ronald, 1981. "On the bias in flexible functional forms and an essentially unbiased form : The fourier flexible form," Journal of Econometrics, Elsevier, pages 211-245.
    11. Eastwood, Brian J. & Gallant, A. Ronald, 1991. "Adaptive Rules for Seminonparametric Estimators That Achieve Asymptotic Normality," Econometric Theory, Cambridge University Press, pages 307-340.
    12. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, pages 150-162.
    13. Jacobsen, S. E., 1972. "On Shephard's duality theorem," Journal of Economic Theory, Elsevier, pages 458-464.
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    More about this item

    Keywords

    Cross-sectional dependence; approximate factor models; dynamic spatial panel models; Italy; manufacturing industries.;

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • N13 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Europe: Pre-1913
    • N63 - Economic History - - Manufacturing and Construction - - - Europe: Pre-1913
    • N93 - Economic History - - Regional and Urban History - - - Europe: Pre-1913

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