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Immigration Policy and Remittance Behaviour

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  • Piracha, Matloob
  • Tani, Massimiliano
  • Tchuente, Guy

Abstract

This paper analyses the remittance behaviour of two cohorts of migrants who entered Australia before and after a policy change implemented in the 1990s, which tightened the entry requirements for a subgroup of applicants. We use a mix of a conditional difference-in-differences and OLS estimator accounting for the presence of interactive fixed-effects to address the challenge of evaluating the impact of policy change using data drawn from two distinct migrant samples, deriving the conditions to obtain a consistent estimator. We show two results: one due to policy change and the other due to change in the composition of migrants. The two results capture different aspects of remittance behaviour.

Suggested Citation

  • Piracha, Matloob & Tani, Massimiliano & Tchuente, Guy, 2021. "Immigration Policy and Remittance Behaviour," GLO Discussion Paper Series 94 [rev.], Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:94r
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    File URL: https://www.econstor.eu/bitstream/10419/232515/1/GLO-DP-0094rev.pdf
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    References listed on IDEAS

    as
    1. Albert Bollard & David McKenzie & Melanie Morten & Hillel Rapoport, 2011. "Remittances and the Brain Drain Revisited: The Microdata Show That More Educated Migrants Remit More," The World Bank Economic Review, World Bank, vol. 25(1), pages 132-156, May.
    2. Deborah A. Cobb-Clark, 2003. "Public policy and the labor market adjustment of new immigrants to Australia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(4), pages 655-681, November.
    3. Dean Yang, 2011. "Migrant Remittances," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 129-152, Summer.
    4. Ilahi, Nadeem & Jafarey, Saqib, 1999. "Guestworker migration, remittances and the extended family: evidence from Pakistan," Journal of Development Economics, Elsevier, vol. 58(2), pages 485-512, April.
    5. Jeffrey M. Wooldridge, 2005. "Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 385-390, May.
    6. M. Piracha & Y. Zhu, 2012. "Precautionary savings by natives and immigrants in Germany," Applied Economics, Taylor & Francis Journals, vol. 44(21), pages 2767-2776, July.
    7. Catia Batista & Janis Umblijs, 2016. "Do migrants send remittances as a way of self-insurance?," Oxford Economic Papers, Oxford University Press, vol. 68(1), pages 108-130.
    8. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    9. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    10. Stéphane Mahuteau & P.N. (Raja) Junankar, 2008. "Do Migrants get Good Jobs in Australia? The Role of Ethnic Networks in Job Search," The Economic Record, The Economic Society of Australia, vol. 84(s1), pages 115-130, September.
    11. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    12. Massimiliano Tani, 2018. "Using a Points System for Selecting Immigrants," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 16(01), pages 08-13, May.
    13. Yoko Niimi & Caglar Ozden & Maurice Schiff, 2010. "Remittances and the Brain Drain: Skilled Migrants Do Remit Less," Annals of Economics and Statistics, GENES, issue 97-98, pages 123-141.
    14. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    15. Ouyang, Min & Peng, Yulei, 2015. "The treatment-effect estimation: A case study of the 2008 economic stimulus package of China," Journal of Econometrics, Elsevier, vol. 188(2), pages 545-557.
    16. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    17. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
    18. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    19. Dustmann, Christian & Mestres, Josep, 2010. "Remittances and temporary migration," Journal of Development Economics, Elsevier, vol. 92(1), pages 62-70, May.
    20. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    21. Seung‐Hyun Hong, 2013. "Measuring The Effect Of Napster On Recorded Music Sales: Difference‐In‐Differences Estimates Under Compositional Changes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 297-324, March.
    22. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    23. Catalina Amuedo-Dorantes & Susan Pozo, 2006. "Remittances as insurance: evidence from Mexican immigrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 19(2), pages 227-254, June.
    24. Prem Jung Thapa & Tue Gørgens, 2006. "Finding Employment After Migration: How Long Does It Take?," Chapters, in: Deborah A. Cobb-Clark & Siew-Ean Khoo (ed.), Public Policy and Immigrant Settlement, chapter 3, Edward Elgar Publishing.
    25. Riccardo Faini, 2007. "Remittances and the Brain Drain: Do More Skilled Migrants Remit More?," The World Bank Economic Review, World Bank, vol. 21(2), pages 177-191, May.
    26. repec:iza:izawol:journl:y:2014:p:24 is not listed on IDEAS
    27. repec:adr:anecst:y:2010:i:97-98:p:06 is not listed on IDEAS
    28. Dilip Ratha & Sanket Mohapatra, 2011. "Preliminary Estimates of Diaspora Savings," World Bank Publications - Reports 10902, The World Bank Group.
    29. Deborah A. Cobb-Clark & Siew-Ean Khoo (ed.), 2006. "Public Policy and Immigrant Settlement," Books, Edward Elgar Publishing, number 3734.
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    More about this item

    Keywords

    Immigration; average treatment effect on the treated; difference-in-differences;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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