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Testing and explaining economic resilience with an application to Italian regions

Author

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  • Di Caro, Paolo
Abstract
This paper studies regional economic resilience by exploiting the properties of the nonlinear smooth-transition autoregressive model. A testing procedure to distinguish between engineering and ecological resilience is presented, and a measurement of economic resilience is provided. Regional differences in economic resilience are explained by the presence of spatial interactions and by adopting a set of determinants like economic diversity, export performance, financial constraints, and human and social capital. An empirical investigation is conducted for analysing regional employment evolution in Italy from 1992 to 2012. Some concluding suggestions propose possible future areas of research.

Suggested Citation

  • Di Caro, Paolo, 2014. "Testing and explaining economic resilience with an application to Italian regions," MPRA Paper 60298, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:60298
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    1. Christina D. Romer & David H. Romer, 1994. "What Ends Recessions?," NBER Chapters, in: NBER Macroeconomics Annual 1994, Volume 9, pages 13-80, National Bureau of Economic Research, Inc.
    2. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    3. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    4. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    5. Ron Boschma, 2015. "Towards an Evolutionary Perspective on Regional Resilience," Regional Studies, Taylor & Francis Journals, vol. 49(5), pages 733-751, May.
    6. Marco Bianchi & Gylfi Zoega, 1998. "Unemployment persistence: does the size of the shock matter?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 283-304.
    7. Gilles Duranton & Diego Puga, 2000. "Diversity and Specialisation in Cities: Why, Where and When Does it Matter?," Urban Studies, Urban Studies Journal Limited, vol. 37(3), pages 533-555, March.
    8. Fabrizio Barca & Philip McCann & Andrés Rodríguez‐Pose, 2012. "The Case For Regional Development Intervention: Place‐Based Versus Place‐Neutral Approaches," Journal of Regional Science, Wiley Blackwell, vol. 52(1), pages 134-152, February.
    9. David H. Romer & Jeffrey A. Frankel, 1999. "Does Trade Cause Growth?," American Economic Review, American Economic Association, vol. 89(3), pages 379-399, June.
    10. Nicola Gennaioli & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2013. "Human Capital and Regional Development," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 105-164.
    11. Ricardo Hausmann & Jason Hwang & Dani Rodrik, 2007. "What you export matters," Journal of Economic Growth, Springer, vol. 12(1), pages 1-25, March.
    12. Ron Boschma & Simona Iammarino, 2009. "Related Variety, Trade Linkages, and Regional Growth in Italy," Economic Geography, Clark University, vol. 85(3), pages 289-311, July.
    13. Roberta Capello & Alessandra Faggian, 2005. "Collective Learning and Relational Capital in Local Innovation Processes," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 75-87.
    14. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    15. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    16. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    17. J. Stan Metcalfe & John Foster & Ronnie Ramlogan, 2006. "Adaptive economic growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 30(1), pages 7-32, January.
    18. Pede, Valerien O. & Florax, Raymond J.G.M. & Lambert, Dayton M., 2014. "Spatial econometric STAR models: Lagrange multiplier tests, Monte Carlo simulations and an empirical application," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 118-128.
    19. Dijk, Dick van & Franses, Philip Hans, 1999. "Modeling Multiple Regimes in the Business Cycle," Macroeconomic Dynamics, Cambridge University Press, vol. 3(3), pages 311-340, September.
    20. Roberta Capello & Peter Nijkamp (ed.), 2009. "Handbook of Regional Growth and Development Theories," Books, Edward Elgar Publishing, number 12874.
    21. Blanchard, Olivier J. & Summers, Lawrence H., 1987. "Hysteresis in unemployment," European Economic Review, Elsevier, vol. 31(1-2), pages 288-295.
    22. David H. Papell & Christian J. Murray & Hala Ghiblawi, 2000. "The Structure of Unemployment," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 309-315, May.
    23. Dario Diodato & Anet B. R. Weterings, 2015. "The resilience of regional labour markets to economic shocks: Exploring the role of interactions among firms and workers," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 723-742.
    24. Francesca Mameli & Alessandra Faggian & Philip McCann, 2008. "Employment Growth in Italian Local Labour Systems: Issues of Model Specification and Sectoral Aggregation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 343-360.
    25. Valter Di Giacinto, 2012. "Il grado di integrazione economica tra mezzogiorno e centro-nord: evidenze empiriche da un modello var multi-regionale," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2012(1), pages 11-41.
    26. Roberto Cellini & Gianpiero Torrisi, 2014. "Regional Resilience in Italy: A Very Long-Run Analysis," Regional Studies, Taylor & Francis Journals, vol. 48(11), pages 1779-1796, November.
    27. Paolo Di Caro, 2015. "Recessions, recoveries and regional resilience: evidence on Italy," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(2), pages 273-291.
    28. Ron Martin, 2012. "Regional economic resilience, hysteresis and recessionary shocks," Journal of Economic Geography, Oxford University Press, vol. 12(1), pages 1-32, January.
    29. Knut Røed, 1997. "Hysteresis in Unemployment," Journal of Economic Surveys, Wiley Blackwell, vol. 11(4), pages 389-418, December.
    30. Skalin, Joakim & Teräsvirta, Timo, 2002. "Modeling Asymmetries And Moving Equilibria In Unemployment Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 6(2), pages 202-241, April.
    31. Valter Di Giacinto & Giorgio Nuzzo, 2006. "Explaining labour productivity differentials across Italian regions: the role of socio‐economic structure and factor endowments," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 299-320, June.
    32. Robert Rowthorn, 2010. "Combined and Uneven Development: Reflections on the North–South Divide," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 363-388.
    33. Francesca Mameli & Simona Iammarino & Ron Boschma, 2012. "Regional variety and employment growth in Italian labour market areas: services versus manufacturing industries," Working Papers 4, Birkbeck Centre for Innovation Management Research, revised Mar 2012.
    34. Bernard Fingleton & Harry Garretsen & Ron Martin, 2012. "Recessionary Shocks And Regional Employment: Evidence On The Resilience Of U.K. Regions," Journal of Regional Science, Wiley Blackwell, vol. 52(1), pages 109-133, February.
    35. Fingleton, Bernard & Palombi, Silvia, 2013. "Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 649-660.
    36. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207.
    37. Kang, Wei & Penn, David A. & Zietz, Joachim, 2011. "A Regime-Switching Analysis of the Impact of Oil Price Changes on the Economies of U.S. States," The Review of Regional Studies, Southern Regional Science Association, vol. 41(2,3), pages 81-101, Fall, Win.
    38. Dayton M. Lambert & Wan Xu & Raymond J. G. M. Florax, 2014. "Partial Adjustment Analysis of Income and Jobs, and Growth Regimes in the Appalachian Region with Smooth Transition Spatial Process Models," International Regional Science Review, , vol. 37(3), pages 328-364, July.
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    More about this item

    Keywords

    regional resilience; hysteresis; smooth transition regression;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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