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Determinants of different internal migration trends: the Italian experience

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  • Napolitano, Oreste
  • Bonasia, Mariangela

Abstract

This paper investigates the determinants of interregional migration in Italy for the period 1985-2006, during which different migration trends took place. In so doing, in addition to the traditional variables of Harris and Todaro model, the impact of housing prices and externalities variables were studied. Our results, using a dynamic panel GMM, show that the H-T model, due to the complexity of the internal migration process, omits some important economic and non-economic variables and may not be representative of migration flow in Italy. Furthermore, our analysis confirms our intuition that for different periods we have to take into account different determinants.

Suggested Citation

  • Napolitano, Oreste & Bonasia, Mariangela, 2010. "Determinants of different internal migration trends: the Italian experience," MPRA Paper 21734, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:21734
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    File URL: https://mpra.ub.uni-muenchen.de/21734/1/MPRA_paper_21734.pdf
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    References listed on IDEAS

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    1. Corrado Bonifazi & F. Heins, 2001. "Le dinamiche dei processi di urbanizzazione in Italia e il dualismo Nord-Sud: un'analisi di lungo periodo," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 4, pages 713-748.
    2. Todaro, Michael P, 1969. "A Model for Labor Migration and Urban Unemployment in Less Developed Countries," American Economic Review, American Economic Association, vol. 59(1), pages 138-148, March.
    3. Daniela-Luminita Constantin & Cornelia Parlog & Zizi Goschin, 2003. "Interregional Migration in Romania during the 1990s," ERSA conference papers ersa03p86, European Regional Science Association.
    4. Yuri Andrienko & Sergei Guriev, 2003. "Determinants of Interregional Mobility in Russia: Evidence from Panel Data," William Davidson Institute Working Papers Series 551, William Davidson Institute at the University of Michigan.
    5. Stark, Oded & Ranjan Gupta, Manash & Levhari, David, 1991. "Equilibrium urban unemployment in developing countries : Is migration the culprit?," Economics Letters, Elsevier, vol. 37(4), pages 477-482, December.
    6. Fidrmuc, Jan, 2004. "Migration and regional adjustment to asymmetric shocks in transition economies," Journal of Comparative Economics, Elsevier, vol. 32(2), pages 230-247, June.
    7. Ella K爈lai & Iulia Traistaru, 1998. "Characteristics and Trends of Regional Labour Markets in Transition Economies:Empirical Evidence from Romania," LICOS Discussion Papers 7298, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    8. Etzo, Ivan, 2007. "Determinants of interregional migration in Italy:A panel data analysis," MPRA Paper 5307, University Library of Munich, Germany.
    9. Hazans, Mihails, 2003. "Commuting in the Baltic States: Patterns, determinants and gains," ZEI Working Papers B 02-2003, University of Bonn, ZEI - Center for European Integration Studies.
    10. Stefano Fachin, 2007. "Long-run trends in internal migrations in italy: a study in panel cointegration with dependent units," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 401-428.
    11. Luigi Cannari & Francesco Nucci & Paolo Sestito, 2000. "Geographic labour mobility and the cost of housing: evidence from Italy," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1899-1906.
    12. Roberto Basile & Marco Causi, 2007. "Le determinanti dei flussi migratori nelle province italiane: 1991-2001," Economia & lavoro, Carocci editore, issue 2, pages 139-139.
    13. Salvatore Muzzicato & Roberto Sabbatini & Francesco Zollino, 2008. "Prices of residential property in Italy: constructing a new indicator," Questioni di Economia e Finanza (Occasional Papers) 17, Bank of Italy, Economic Research and International Relations Area.
    14. Faini, Riccardo & Galli, Giampaolo & Gennari, Pietro & Rossi, Fulvio, 1997. "An empirical puzzle: Falling migration and growing unemployment differentials among Italian regions," European Economic Review, Elsevier, vol. 41(3-5), pages 571-579, April.
    15. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    16. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    Citations

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    Cited by:

    1. Timo Mitze, 2012. "Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions," Lecture Notes in Economics and Mathematical Systems, in: Empirical Modelling in Regional Science, edition 127, chapter 0, pages 53-82, Springer.
    2. Annamaria Nifo & Gaetano Vecchione, 2014. "Do Institutions Play a Role in Skilled Migration? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1628-1649, October.
    3. E. S. Vakulenko, 2016. "Econometric analysis of factors of internal migration in Russia," Regional Research of Russia, Springer, vol. 6(4), pages 344-356, October.
    4. Vakulenko, Elena, 2012. "Migration in Russian cities: Econometric analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 25(1), pages 25-50.
    5. Nifo, Annamaria & Pagnotta, Stefano & Scalera, Domenico, 2011. "The best and brightest. Selezione positiva e brain drain nelle migrazioni interne italiane [The best and brightest. Positive selection and brain drain in Italian internal migrations]," MPRA Paper 34506, University Library of Munich, Germany.
    6. Timo Mitze & Janina Reinkowski, 2010. "Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions," Ruhr Economic Papers 0226, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    7. Andrea Cutillo & Claudio Ceccarelli, 2012. "The internal relocation premium: are migrants positively or negatively selected? Evidence from Italy," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(6), pages 1263-1278, November.
    8. Germani, Anna Rita & Morone, Piergiuseppe & Testa, Giuseppina, 2014. "Environmental justice and air pollution: A case study on Italian provinces," Ecological Economics, Elsevier, vol. 106(C), pages 69-82.
    9. repec:zbw:rwirep:0226 is not listed on IDEAS
    10. Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Validity of the Neoclassical Migration Model: Overall and Age-Group Specific Estimation Results for German Spatial Planning Regions," MPRA Paper 23616, University Library of Munich, Germany.

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    More about this item

    Keywords

    Interregional Migration; House prices; Income; Unemployment; Italy; Panel Data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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