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Assessing the Effect of the Consumer-Voter Sentiment on Tiebout-Like Migration: The EU 27 Case

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  • Christos Kallandranis

    () (Department of Accounting Finance and Economics, Regent’s University London, Inner Circle, Regent’s Park, London NW1 4NS, UK)

  • Socrates Karidis

    (Department of Accounting and Finance, University of Bedfordshire, Park Square, Luton, Bedfordshire LU1 3JU, UK,)

Abstract

The paper revisits the determinants of intra-European migration using a conditional logit model for the period 2000–2010. With all moving restrictions lifted, a substantial Union enlargement in 2004, and a severe economic crisis in progress, new evidence is being revealed regarding the decision making process of individuals who choose to relocate. We examine Tiebout’s proposition of voting with one’s feet in the context of the Union, and we show that fiscal policies in the form of fiscal packages offered to a country’s residents as well as consumer confidence indicators play a decisive role in affecting that process. With 26 alternative destinations over a period of 11 years, we find that people will choose to move to a country that offers them a better fiscal surplus, higher confidence as economic agents and higher potential earnings. In light of our results, and after establishing the migration patterns, we believe that a new discussion should open regarding efficiency concerns and government policy implications.

Suggested Citation

  • Christos Kallandranis & Socrates Karidis, 2014. "Assessing the Effect of the Consumer-Voter Sentiment on Tiebout-Like Migration: The EU 27 Case," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 14(1), pages 31-55, April.
    • Handle: RePEc:wsi:gejxxx:v:14:y:2014:i:01:n:gej-2013-0009
    DOI: 10.1515/GEJ-2013-0009
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    References listed on IDEAS

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    1. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64, pages 416-416.
    2. Berg Lennart & Bergström Reinhold, 1996. "Consumer Confidence and Consumption in Sweden," Working Paper Series 1996:7, Uppsala University, Department of Economics.
    3. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1, June.
    4. Easaw, Joshy Z. & Garratt, Dean & Heravi, Saeed M., 2005. "Does consumer sentiment accurately forecast UK household consumption? Are there any comparisons to be made with the US?," Journal of Macroeconomics, Elsevier, vol. 27(3), pages 517-532, September.
    5. Jason Bram & Sydney Ludvigson, 1998. "Does consumer confidence forecast household expenditure? a sentiment index horse race," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Jun), pages 59-78.
    6. Farnham, Martin & Sevak, Purvi, 2006. "State fiscal institutions and empty-nest migration: Are Tiebout voters hobbled?," Journal of Public Economics, Elsevier, vol. 90(3), pages 407-427, February.
    7. Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, number 9780226774886, March.
    8. Herbert Brücker & Philipp J. H. Schröder, 2012. "International Migration With Heterogeneous Agents: Theory and Evidence for Germany, 1967–2009," The World Economy, Wiley Blackwell, vol. 35(2), pages 152-182, February.
    9. Brian J. Cushing, 1993. "The Effect of the Social Welfare System on Metropolitan Migration in the US, by Income Group, Gender and Family Structure," Urban Studies, Urban Studies Journal Limited, vol. 30(2), pages 325-337, March.
    10. Rebecca A Emerson & David Hendry, 1994. "An evaluation of forecasting using leading indicators," Economics Papers 5., Economics Group, Nuffield College, University of Oxford.
    11. Lucia F. Dunn & Ida A. Mirzaie, 2006. "Turns in Consumer Confidence: An Information Advantage Linked to Manufacturing," Economic Inquiry, Western Economic Association International, vol. 44(2), pages 343-351, April.
    12. Paul S. Davies & Michael J. Greenwood & Haizheng Li, 2001. "A Conditional Logit Approach to U.S. State‐to‐State Migration," Journal of Regional Science, Wiley Blackwell, vol. 41(2), pages 337-360, May.
    13. Socrates Karidis & Michael A. Quinn, 2006. "Fiscal harmonization and migration in the European Union," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 49(4), pages 333-352.
    14. James H. Stock & Mark W. Watson, 1993. "Introduction to "Business Cycles, Indicators and Forecasting"," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 1-10, National Bureau of Economic Research, Inc.
    15. Konstantinos Drakos & Christos Kallandranis, 2007. "Investment and cash flow: evidence for asymmetries in European manufacturing," Applied Financial Economics, Taylor & Francis Journals, vol. 17(14), pages 1191-1200.
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