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Migration and Business Cycle Dynamics

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Abstract

We examine the business cycle effects that arise from an expansion of the population due to migration. We identify the contribution that migration shocks make to cyclical fluctuations, and illustrate their dynamic impact. The analysis presented here is conducted in per capita terms. We develop a dynamic stochastic general equilibrium (DSGE) model to explore the consequences of migration. Households consume foreign- and domestically-produced goods, and housing. Domestically-produced goods are produced using effective labour and physical capital, where effective labour is a composite of physical labour and human capital. The level of human capital is particularly important for the dynamics of the migration shock as it amplifies the labour supply impact of a migration impulse. The model also embodies other frictions. Physical capital, for example, has a variable utilisation rate and adjusting the stock of capital is costly. Variable utilisation and capital adjustment costs are important for the dynamics of shocks. Variable utilisation provides an extra margin of adjustment in response to a shock, while capital adjustment costs serve to slow the propagation of shocks to investment. The model has three stocks of capital: physical capital; housing; and human capital. A migration inflow erodes the per capita stock of physical and housing capital, but the effect on the stock of human capital is ambiguous because migrants may have more or less human capital than domestic residents. The stock of migrant human capital relative to local resident human capital has a material impact on the dynamics of the migration impulse and on the contribution that migrant shocks make to business cycle fluctuations. Using the estimated DSGE model, we show that migration shocks account for a considerable portion of the variability of per capita gross domestic product (GDP). While migration shocks matter for the capital investment and consumption components of per capita GDP, there are other drivers of cyclical fluctuations in these expenditure components that are even more important. Migration shocks also matter for residential investment and real house prices, but once again other shocks play a larger role in driving volatility. In the DSGE model, the level of human capital possessed by migrants relative to that of locals materially affects the business cycle impact of migration. The impact of migration shocks is larger when migrants have substantially different – larger or smaller – levels of human capital relative to locals. When the average migrant has higher levels of human capital than locals, as seems to be common in most OECD economies, a migration shock has an expansionary effect on per capita GDP and its components, which also accords with the evidence from a restricted structural vector autoregression.

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  • Christie Smith & Christoph Thoenissen, 2018. "Migration and Business Cycle Dynamics," Reserve Bank of New Zealand Discussion Paper Series DP2018/07, Reserve Bank of New Zealand.
  • Handle: RePEc:nzb:nzbdps:2018/7
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    1. repec:sae:ilrrev:v:70:y:2017:i:5:p:1077-1110 is not listed on IDEAS
    2. Sari Pekkala Kerr & William R. Kerr, 2011. "Economic Impacts of Immigration: A Survey," Finnish Economic Papers, Finnish Economic Association, vol. 24(1), pages 1-32, Spring.
    3. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    4. George J. Borjas, 1995. "The Economic Benefits from Immigration," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 3-22, Spring.
    5. David Card, 1990. "The Impact of the Mariel Boatlift on the Miami Labor Market," ILR Review, Cornell University, ILR School, vol. 43(2), pages 245-257, January.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Mandelman, Federico S. & Zlate, Andrei, 2012. "Immigration, remittances and business cycles," Journal of Monetary Economics, Elsevier, vol. 59(2), pages 196-213.
    8. Harry Jerome, 1926. "Migration and Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number jero26-1, October.
    9. Ximena Clark & Timothy J. Hatton & Jeffrey G. Williamson, 2007. "Explaining U.S. Immigration, 1971-1998," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 359-373, May.
    10. James Mitchell & Nigel Pain & Rebecca Riley, 2011. "The drivers of international migration to the UK: A panel‐based Bayesian model averaging approach," Economic Journal, Royal Economic Society, vol. 121(557), pages 1398-1444, December.
    11. Kamber, Günes & Smith, Christie & Thoenissen, Christoph, 2015. "Financial frictions and the role of investment-specific technology shocks in the business cycle," Economic Modelling, Elsevier, vol. 51(C), pages 571-582.
    12. Ekrame Boubtane & Jean-Christophe Dumont & Christophe Rault, 2016. "Immigration and economic growth in the OECD countries 1986–2006," Oxford Economic Papers, Oxford University Press, vol. 68(2), pages 340-360.
    13. Ray Barrell & John Fitzgerald & Rebecca Riley, 2010. "EU Enlargement and Migration: Assessing the Macroeconomic Impacts," Journal of Common Market Studies, Wiley Blackwell, vol. 48, pages 373-395, March.
    14. Ariel Burstein & Gordon Hanson & Lin Tian & Jonathan Vogel, 2017. "Tradability and the Labor-Market Impact of Immigration: Theory and Evidence from the U.S," NBER Working Papers 23330, National Bureau of Economic Research, Inc.
    15. James D. Hamilton, 2017. "Why You Should Never Use the Hodrick-Prescott Filter," NBER Working Papers 23429, National Bureau of Economic Research, Inc.
    16. Max Nathan, 2014. "The wider economic impacts of high-skilled migrants: a survey of the literature for receiving countries," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-20, December.
    17. Harry Jerome, 1926. "Immigration and Business Cycles Prior to 1890," NBER Chapters,in: Migration and Business Cycles, pages 77-88 National Bureau of Economic Research, Inc.
    18. Daehaeng Kim & Chul-In Lee, 2007. "On-the-Job Human Capital Accumulation in a Real Business Cycle Model: Implications for Intertemporal Substitution Elasticity and Labor Hoarding," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 494-518, July.
    19. Hatton, Timothy J, 1995. "A Model of U.K. Emigration, 1870-1913," The Review of Economics and Statistics, MIT Press, vol. 77(3), pages 407-415, August.
    20. Anna Mayda, 2010. "International migration: a panel data analysis of the determinants of bilateral flows," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(4), pages 1249-1274, September.
    21. Christian Dustmann & Francesca Fabbri & Ian Preston, 2005. "The Impact of Immigration on the British Labour Market," Economic Journal, Royal Economic Society, vol. 115(507), pages 324-341, November.
    22. Harry Jerome, 1926. "Appendix to "Migration and Business Cycles"," NBER Chapters,in: Migration and Business Cycles, pages 245-250 National Bureau of Economic Research, Inc.
    23. Tugrul Vehbi, 2016. "The macroeconomic impact of the age composition of migration," Reserve Bank of New Zealand Analytical Notes series AN2016/03, Reserve Bank of New Zealand.
    24. George J. Borjas, 1994. "The Economics of Immigration," Journal of Economic Literature, American Economic Association, vol. 32(4), pages 1667-1717, December.
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    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission

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