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Income, consumption and remittances: Evidence from immigrants to Australia

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  • Bettin, Giulia
  • Lucchetti, Riccardo
  • Zazzaro, Alberto

Abstract

For many countries, remittance behaviour by migrants is an important component of their overall international financial flows. To date, the empirical literature has analysed the propensity to remit as a function of migrants' socio-economic characteristics. However, no studies have fully addressed the empirical implications of remittance behaviour being determined in the broader context of migrants' labour, income and consumption allocation strategy. On the contrary, the migrant's income has almost always been treated as exogenous in this context. The aim of this study is to estimate a remittance equation that detects the main determinants of remittance behaviour while addressing endogeneity and reverse causality relationships between remittances, income, consumption and savings. Moreover, since a large share of individuals do not remit money at all, an instrumental variable variant of the double-hurdle selection model is proposed and estimated by LIML. A sending country perspective is adopted in the empirical analysis by considering the first cohort of the Longitudinal Survey of Immigrants to Australia. We find that endogeneity is substantial and that estimates obtained by the methods previously employed in the literature may be very misleading if given a behavioural interpretation. Our results confirm some theoretical predictions and shed light on others; notably, we show that selfish motives in remitters are at least as important as altruistic motives.

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  • Bettin, Giulia & Lucchetti, Riccardo & Zazzaro, Alberto, 2009. "Income, consumption and remittances: Evidence from immigrants to Australia," HWWI Research Papers 3-21, Hamburg Institute of International Economics (HWWI).
  • Handle: RePEc:zbw:hwwirp:3-21
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    Cited by:

    1. Wiebke Meyer & Judith M�llers & Gertrud Buchenrieder, 2012. "Who Remits More? Who Remits Less? Evidence from Kosovar Migrants in Germany and Their Households of Origin," Oxford Development Studies, Taylor & Francis Journals, vol. 40(4), pages 443-466, December.
    2. Mduduzi Biyase & Yourishaa Naidoo, 2023. "The Symmetric and Asymmetric Effect of Remittances on Financial Development: Evidence from South Africa," IJFS, MDPI, vol. 11(1), pages 1-17, January.
    3. Imene Guetat & Dorsaf Sridi, 2017. "Institutional quality effect on remittances in MENA region," Middle East Development Journal, Taylor & Francis Journals, vol. 9(1), pages 84-100, January.
    4. Mónika López-Anuarbe & Maria Amparo Cruz-Saco & Yongjin Park, 2016. "More than Altruism: Cultural Norms and Remittances Among Hispanics in the USA," Journal of International Migration and Integration, Springer, vol. 17(2), pages 539-567, May.
    5. Meyer, Wiebke, 2012. "Motives for remitting from Germany to Kosovo," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 69, number 69.
    6. Maria Amparo Cruz-Saco & Mónika López-Anuarbe, 2013. "Familism and Social Inclusion: Hispanics in New London, Connecticut," Social Inclusion, Cogitatio Press, vol. 1(2), pages 113-125.
    7. Dorsaf Sridi & Wafa Ghardallou, 2021. "Remittances and disaggregated country risk ratings in Tunisia: an ARDL approach," Middle East Development Journal, Taylor & Francis Journals, vol. 13(1), pages 191-211, January.
    8. Edelbloude, Johanna & Fontan Sers, Charlotte & Makhlouf, Farid, 2017. "Do remittances respond to revolutions? The Evidence from Tunisia," Research in International Business and Finance, Elsevier, vol. 42(C), pages 94-101.
    9. Giulia Bettin & Riccardo Lucchetti, 2012. "Interval regression models with endogenous explanatory variables," Empirical Economics, Springer, vol. 43(2), pages 475-498, October.
    10. Nahed Zghidi & Imen Mohamed Sghaier & Zouheir Abida, 2018. "Remittances, Institutions, and Economic Growth in North African Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 804-821, September.
    11. Nahed Zghidi & Zouheir Abid, 2015. "Remittances, Economic Freedom, and Economic Growth in North African Countries," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(58), pages 139-162, December.
    12. Tolciu, Andreia & Schaland, Ann-Julia & El-Cherkeh, Tanja, 2010. "Migrant entrepreneurship in Hamburg: Results from a qualitative study with Turkish entrepreneurs," HWWI Research Papers 3-22, Hamburg Institute of International Economics (HWWI).
    13. Presbitero, Andrea F. & Zazzaro, Alberto, 2012. "IMF Lending in Times of Crisis: Political Influences and Crisis Prevention," World Development, Elsevier, vol. 40(10), pages 1944-1969.
    14. Jouini, Jamel, 2015. "Economic growth and remittances in Tunisia: Bi-directional causal links," Journal of Policy Modeling, Elsevier, vol. 37(2), pages 355-373.
    15. Dorsaf Srdid & Wafa Ghardallou, 2019. "Remittances and Disaggregated Country Risk Ratings in Tunisia: An ARDL Approach," Working Papers 1326, Economic Research Forum, revised 21 Aug 2019.
    16. Dorsaf Sridi & Imene Guetat, 2020. "The direct and indirect risk impacts on remittances: A cross‐regional specific effects," African Development Review, African Development Bank, vol. 32(3), pages 288-302, September.

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    More about this item

    Keywords

    Double-hurdle model; migration; remittances;
    All these keywords.

    JEL classification:

    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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