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Migration intentions: Data from a Field Study in Albania

Author

Listed:
  • Michel Beine

    (Department of Economics and Management, Université du Luxembourg)

  • Arnaud Dupuy

    (Department of Economics and Management, Université du Luxembourg)

  • Majlinda Joxhe

    (Department of Economics and Management, Université du Luxembourg)

Abstract
(To consult this DP, please send an e-mail to dem@uni.lu) This paper documents data about migration intentions collected through a survey conducted between September and December 2019 in the city of Tirana (Albania). The information contained in the data belongs to three main categories: (i) the socio-demographic characteristics of the subjects interviewed (ii) their migration intentions in the form of rankings of preferred destinations within Europe as well as worldwide, and (iii) measures of their risk and time preferences. The data collection involved two different approaches. First, incentivized lab-in-the-field laboratory games were used to elicit risk and time preferences of the subjects. Second, a randomized experiment with respect to the preferred migration destinations was used to unveil the importance of information about potential destinations when individuals rank destinations. Descriptive statistics of the data indicate that approximately 72% of the subjects in our sample express the desire to migrate in the future. The country ranked as most preferred European destination is Germany, while worldwide the US rank first. About 57% of the subjects consider the level of earnings at destination as the most important attribute to decide where to emigrate. We find further that, when provided with official statistics about earnings at destinations, 26% of individuals change their most preferred destination. Interestingly, the data suggest that this change is twice as much prevailing for those with no intention to migrate than for intended movers. Finally, whether we provide more than just information about earnings or not does not seem to matter much.

Suggested Citation

  • Michel Beine & Arnaud Dupuy & Majlinda Joxhe, 2020. "Migration intentions: Data from a Field Study in Albania," DEM Discussion Paper Series 20-14, Department of Economics at the University of Luxembourg.
    • Handle: RePEc:luc:wpaper:20-14
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    File URL: https://www.uni.lu/fdef-en/research-departments/department-of-economics-and-management/publications/
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    References listed on IDEAS

    as
    1. Michel Beine & Pauline Bourgeon & Jean‐Charles Bricongne, 2019. "Aggregate Fluctuations and International Migration," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 117-152, January.
    2. Dustmann, Christian & Okatenko, Anna, 2014. "Out-migration, wealth constraints, and the quality of local amenities," Journal of Development Economics, Elsevier, vol. 110(C), pages 52-63.
    3. Shuaizhang Feng & Michael Oppenheimer & Wolfram Schlenker, 2012. "Climate Change, Crop Yields, and Internal Migration in the United States," NBER Working Papers 17734, National Bureau of Economic Research, Inc.
    4. Manchin, Miriam & Orazbayev, Sultan, 2018. "Social networks and the intention to migrate," World Development, Elsevier, vol. 109(C), pages 360-374.
    5. Simone Bertoli & Ilse Ruyssen, 2018. "Networks and migrants’ intended destination," Journal of Economic Geography, Oxford University Press, vol. 18(4), pages 705-728.
    6. Paul Collier & Anke Hoeffler, 2018. "Migration, Diasporas and Culture: An Empirical Investigation," Kyklos, Wiley Blackwell, vol. 71(1), pages 86-109, February.
    7. Michel Beine & Serge Coulombe & Wessel N. Vermeulen, 2015. "Dutch Disease and the Mitigation Effect of Migration: Evidence from Canadian Provinces," Economic Journal, Royal Economic Society, vol. 125(589), pages 1574-1615, December.
    8. Oded Stark & J. Taylor, 1989. "Relative deprivation and international migration oded stark," Demography, Springer;Population Association of America (PAA), vol. 26(1), pages 1-14, February.
    9. World Bank, 2018. "Moving for Prosperity," World Bank Publications - Books, The World Bank Group, number 29806.
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    11. Arnaud Dupuy, 2021. "Migration in China: To work or to wed?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 393-415, June.
    12. Frédéric Docquier & Giovanni Peri & Ilse Ruyssen, 2016. "The Cross-country Determinants of Potential and Actual Migration," World Scientific Book Chapters, in: The Economics of International Migration, chapter 12, pages 361-423, World Scientific Publishing Co. Pte. Ltd..
    13. Grogger, Jeffrey & Hanson, Gordon H., 2011. "Income maximization and the selection and sorting of international migrants," Journal of Development Economics, Elsevier, vol. 95(1), pages 42-57, May.
    14. Beine, Michel & Charness, Gary & Dupuy, Arnaud & Joxhe, Majlinda, 2020. "Shaking Things Up: On the Stability of Risk and Time Preferences," IZA Discussion Papers 13084, Institute of Labor Economics (IZA).
    15. Michel Beine & Christopher Parsons, 2015. "Climatic Factors as Determinants of International Migration," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(2), pages 723-767, April.
    16. World Bank, "undated". "Europe and Central Asia Economic Update, October 2017," World Bank Publications - Reports 28534, The World Bank Group.
    17. Michel Beine & Serge Coulombe & Wessel N. Vermeulen, 2015. "Dutch Disease and the Mitigation Effect of Migration: Evidence from Canadian Provinces," Economic Journal, Royal Economic Society, vol. 125(589), pages 1574-1615, December.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Michel Beine & Gary Charness & Arnaud Dupuy, 2021. "Emigration Intentions and Risk Aversion: Causal Evidence from Albania," CESifo Working Paper Series 9484, CESifo.
    2. Erminia Florio, 2023. "Information Campaigns and Migration Perceptions," CEIS Research Paper 564, Tor Vergata University, CEIS, revised 31 Jul 2023.

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    More about this item

    Keywords

    Field Experiment; Data Collection; Albania; Intended Migration;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration

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