IDEAS home Printed from
   My bibliography  Save this paper

Determinants of different internal migration trends: the Italian experience


  • Napolitano, Oreste
  • Bonasia, Mariangela


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

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Daniela-Luminita Constantin & Cornelia Parlog & Zizi Goschin, 2003. "Interregional Migration in Romania during the 1990s," ERSA conference papers ersa03p86, European Regional Science Association.
    2. 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.
    3. 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.
    4. 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.
    5. Etzo, Ivan, 2007. "Determinants of interregional migration in Italy:A panel data analysis," MPRA Paper 5307, University Library of Munich, Germany.
    6. 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.
    7. Peter Huber, 2004. "Inter-regional mobility in Europe: a note on the cross-country evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 619-624.
    8. 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.
    9. 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.
    10. Andrienko, Yuri & Guriev, Sergei, 2003. "Determinants of Interregional Mobility in Russia: Evidence from Panel Data," CEPR Discussion Papers 3835, C.E.P.R. Discussion Papers.
    11. Basile Roberto & Causi Marco, 2007. "Le determinanti dei flussi migratori nelle province italiane: 1991-2001," Economia & lavoro, Carocci editore, issue 2, pages 139-139.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Mitze, Timo & Reinkowski, Janina, 2010. "Testing the Neoclassical Migration Model: Overall and Age-Group Specific Results for German Regions," Ruhr Economic Papers 226, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. 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.
    3. repec:zbw:rwirep:0226 is not listed on IDEAS
    4. Vakulenko, Elena, 2012. "Migration in Russian cities: Econometric analysis," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 25(1), pages 25-50.
    5. 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.
    6. 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.
    7. 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.

    More about this item


    Interregional Migration; House prices; Income; Unemployment; Italy; Panel Data;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:21734. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.