Brain drain or brain gain? Effects of high-skilled international emigration on origin countries

· Science

16 min read Original article ↗

Editor’s summary

A long-standing challenge facing low-income countries is that many of their most highly educated citizens emigrate in search of greater opportunities elsewhere. Although this “brain drain” effect can directly decrease the country’s stock of human capital, Batista et al. reviewed evidence supporting indirect “brain gain” benefits as well. Highlighting research that uses empirical methods to estimate causal effects of emigration, the authors examined how migration opportunities can prove beneficial for origin countries. Many who invest in education motivated by migration may ultimately not emigrate, increasing the domestic stock of human capital. Emigration can lead to domestic benefits through remittances, knowledge transfers, foreign investment and trade, return migration, and other channels. Further research can help in our understanding of the conditions and policy approaches that might best support such origin country benefits from skilled emigration. —Brad Wible

Structured Abstract

BACKGROUND

Emigration rates are in the range of 10 to 50% for highly skilled individuals such as top academics, inventors, scientists, engineers, and medical professionals from many lower-income and smaller countries. There have long been concerns that this “brain drain” harms origin economies. However, high-skilled migration can also enhance human capital at home through “brain gain” effects on incentives to invest in education, remittances, and return migration. Additionally, it can have other beneficial impacts on well-being in the origin country through trade and business development, innovation, and transmitting knowledge and positive norms from the destination.

ADVANCES

Much of the debate around brain drain and gain has relied on theoretical arguments, anecdotes, and noncausal empirical associations. Recent research has used modern experimental and nonexperimental methods to establish causal evidence on these different channels.

We now have empirical validation of the theoretical argument that new high-skilled migration opportunities can increase, rather than decrease, the overall stock of educated workers in a country. Exogenous changes in US immigration policies resulted in more Filipinos training as nurses and more Indians acquiring computer science skills than the people emigrating, raising the total number with these skills at home (see summary figure). Human capital at the origin also increases through remittances funding education and from migrants returning with education and work experience acquired abroad. Whether the net effect is a brain drain or gain will depend on fundamental factors such as how quickly universities and training institutes can adjust to produce the skilled workers demanded abroad given the regulatory environment for higher education, or the conditions governing investments at home.

Other impacts on home economies vary with the time frame, type of skill migrating, and country context. There can be short-term negative consequences on firms and scientific innovation in origin countries when skilled workers depart, but over time these emigrants build trade and FDI networks and act as conduits for knowledge transfer. This can spur the creation of new industries, as has occurred in the IT sector in several countries. Migrants also tend to transfer political attitudes and social norms of their destination countries, which can boost support for democracy, improve population health, and enhance female decision-making power at home when migrants go to more liberal and democratic destinations.

The largest welfare impacts are on the high-skilled emigrants themselves, who often more than double their incomes by migrating. Migration also produces much broader positive impacts on origin communities. Benefits accrue not only to other household members left behind by the migrant, but also to entire regions through the investment, trade, entrepreneurship, and innovation channels described above. Despite fears of medical brain drain, there is an absence of causal evidence for negative impacts, and population health at home can also improve with emigration as a result of improved norms, remittances, knowledge transfers, and return migration of skilled health professionals.

OUTLOOK

Rising education levels worldwide, international competition for talent, and a preference for high-skilled migrants in many destination-country migration policies are all likely to ensure that the flow of high-skilled migrants from poor to rich countries will continue to grow. Recent literature should provide some reassurance to those concerned about “brain drain” as it demonstrates many potential ways origin countries gain from the outflow.

However, the evidence base remains limited, and there are many opportunities for new causal research. Most research looks at the impact of all types of skilled migration combined, or pools together educated and less-educated migrants, whereas net impacts may vary depending on the type of skill departing. Much of the literature focuses on impacts in a few large middle-income countries such as India, the Philippines, and Mexico, but outcomes may differ in more fragile and poorer countries that have fewer opportunities for skill acquisition and productive home investments. Despite these differences, for small, poor origin countries, the existing body of research can help clarify policies that may enable these countries to experience more of the benefits from skilled migration rather than the costs. The biggest research gaps, however, lie in understanding effective policy responses in sending regions. Comprehensive policy analysis requires a consideration of the full range of direct and indirect “general equilibrium effects” of emigration on all relevant labor markets, and any external benefits accruing to population health and well-being through new innovations and business creation.

“Brain drain” of Filipino nurses leading to brain gain.

The US expanded the number of visas available for foreign nurses between 2000 and 2006 and the number of nursing graduates in the Philippines rose substantially in response. Bar (A) shows the outflow of Filipino nurses to the US between 2000 and 2006. Bar (B) shows the number of newly licensed Filipino nurses between 2000 and 2006. Bar (A) + (B) show the net gain (“brain gain”) of nurses in the Philippines during this period.

Abstract

How does emigration of highly educated citizens of low-income countries to high-income countries affect the economies of the origin countries? The direct effect is “brain drain”—a decrease in the country’s human capital stock. However, there may also be indirect “brain gain” effects. This review summarizes evidence that uses causal inference methods to reveal mechanisms that may lead to brain drain, gain, or circulation. Collectively, the weight of the evidence suggests that migration opportunities often increase human capital stock in origin countries and produce downstream beneficial effects through remittances; foreign direct investment and trade linkages; transfers of knowledge, technology and norms; and return migration. We discuss conditions under which benefits from skilled migration may outweigh costs and also describe potential research paths to inform policy.

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References and Notes

1

E. Adovor, M. Czaika, F. Docquier, Y. Moullan, Medical brain drain: How many, where and why? Journal of Health Economics, 76, 102409 (2021).

3

F. Docquier, H. Rapoport, in Brain Drain and Brain Gain: The Global Competition to Attract High-Skilled Migrants. T. Boeri, H. Brücker, F. Docquier, H. Rapoport, Eds. (Oxford Academic, 2012); pp. 213–232.

4

P. Choudhury, I. Ganguli, P. Gaulé, Top talent, elite colleges, and migration: Evidence from the Indian Institutes of Technology. Journal of Development Economics, 164, 103120 (2023).

5

Z. Spicer, N. Olmstead, N. Goodman, “Reversing the brain drain: Where is Canadian STEM talent going?” (Brock University Technical Report, 2018).

6

World Bank, “Migrants, refugees, and societies” (World Bank Technical Report, 2023).

7

N. Cha’Ngom, C. Deuster, F. Docquier, J. Machado, “Selective migration and economic development: A generalized approach” (IZA working paper, 2023)

8

J. Gibson, D. McKenzie, The economic consequences of brain drain of the best and brightest: Microeconomic evidence from five countries. Econ. J. 122, 339–375 (2012).

10

A. Portes, International migration and national development: From orthodox equilibrium to transnationalism. Sociol. Dev. 2, 73–92 (2016).

11

A. O. Hirschman, Exit, Voice, and Loyalty: Responses to Decline in Firms, Organizations, and States. (Harvard Univ. Press, 1970).

12

H. B. Grubel, A. D. Scott, The international flow of human capital. The American Economic Review 56, 268–274, 1966.

13

J. Bhagwati, K. Hamada, The brain drain, international integration of markets for professionals and unemployment: A theoretical analysis. Journal of Development Economics, 1, 19–42, 1974.

14

M. A. Clemens, “The effect of international migration on productivity: Evidence from randomized allocation of U.S. visas to software workers at an Indian firm” (Center for Global Development Technical Report, 2012).

15

S. A. Shrestha, No man left behind: Effects of emigration prospects on educational and labour outcomes of non-migrants. Econ. J. 127, 495–521 (2017).

16

M. A. Clemens, E. R. Tiongson, Split decisions: Household finance when a policy discontinuity allocates overseas work. The Review of Economics and Statistics 99, 531–543, 2017.

17

H. J. Kleven, Bunching. Annual Review of Economics 8, 435–464 2016.

18

M. Anelli, G. Basso, G. Ippedico, G. Peri, Emigration and entrepreneurial drain. American Economic Journal: Applied Economics 15, 218–252 2023.

19

D. McKenzie, H. Rapoport, Can migration reduce educational attainment? Evidence from Mexico. Journal of Population Economics 24, 1331–1358 2011.

20

P. Abarcar, C. Theoharides, Medical worker migration and origin-country human capital: Evidence from U.S. visa policy. The Review of Economics and Statistics 106, 20–35, 2024.

21

G. Khanna, N. Morales, “The IT boom and jrn unintended consequences of chasing the American Dream” (Center for Global Development Working Paper, 2024).

22

Y. Y. Ortiga, Learning to Fill the Labor Niche: Filipino nursing graduates and the risk of the migration trap. RSF: The Russell Sage Foundation Journal of the Social Sciences 4, 172–187, 2018.

23

Y. Y. Ortiga, Emigration, Employability and Higher Education in the Philippines (Routledge, ed. 1, 2018).

24

P. Agte, A. Bernhardt, E. Field, R. Pande, N. Rigol, “Investing in the next generation: The long-run impacts of a liquidity shock” (NBER Working Paper 29816, 2022).

25

D. Yang, International migration, remittances and household investment: Evidence from Philippine migrants’ exchange rate shocks. The Economic Journal, 118, 591–630 2008.

26

J. Gibson, D. McKenzie, S. Stillman, The impacts of international migration on remaining household members: Omnibus results from a migration lottery program. The Review of Economics and Statistics, 93, 1297–1318, 2011.

27

J. Gibson, D. McKenzie, H. Rohorua, Development impacts of seasonal and temporary migration: A review of evidence from the Pacific and Southeast Asia. Asia Pac. Policy Stud. 1, 18–32 (2014).

28

C. Theoharides, Manila to Malaysia, Quezon to Qatar: International migration and its effects on origin-country human capital. Journal of Human Resources 60, 1548–8004 (2025).

29

T. Dinkelman, M. Mariotti, The long-run effects of labor migration on human capital formation in communities of origin. American Economic Journal: Applied Economics, Rev. Econ. Stud. 8, 1–35 (2019).

30

G. Khanna, E. Murathanoglu, C. Theoharides, D. Yang, “Abundance from abroad: Migrant income and long-run economic development” (NBER Working Paper 29862 2022).

32

G. Khanna, K. Shih, A. Weinberger, M. Xu, M. Yu, Trade liberalization and Chinese students in U.S. higher education. Rev. Econ. Stat. 2023, 1–46 (2023).

33

S. Kahn, M. MacGarvie, Do return requirements increase international knowledge diffusion? Evidence from the Fulbright program. Res. Policy 45, 1304–1322 (2016).

34

M. Chen, The value of U.S. college education in global labor markets: Experimental evidence from China. Manage. Sci. 70, 1276–1300 (2024).

35

K. Buchardi, T. Chaney, A. Tarek, Hassan. Migrants, ancestors, and foreign in- vestments. Rev. Econ. Stud. 86, 1448–1486 (2019).

36

B. S. Javorcik, Ç. Özden, M. Spatareanu, C. Neagu, Migrant networks and foreign direct investment. J. Dev. Econ. 94, 231–241 (2011).

37

W. R. Kerr, Ethnic scientific communities and international technology diffusion. Rev. Econ. Stat. 90, 518–537 (2008).

38

C. Parsons, P.-L. Vézina, Migrant networks and trade: The Vietnamese Boat People as a natural experiment. Econ. J. 128, F210–F234 (2018).

39

L. Cohen, U. G. Gurun, C. Malloy, Resident networks and corporate connections: Evidence from World War II internment camps. J. Finance 72, 207–248 (2017).

40

D. Bahar, H. Rapoport, Migration, knowledge diffusion and the comparative advantage of nations. Econ. J. 128, F273–F305 (2018).

41

Y. Giesing, N. Laurentsyeva, “Firms left behind: Emigration and firm productivity” (CESifo Working Paper, 2017).

42

A. L. Saxenian. The New Argonauts: Regional advantage in a Global Economy. (Harvard Univ. Press, 2007).

43

M. Giannetti, G. Liao, X. Yu, The brain gain of corporate boards: Evidence from China. The Journal of Finance, 70, 1629–1682 (2015).

44

C. Jones, R & D-based models of economic growth. J. Polit. Econ. 103, 759–784 (1995).

45

P. Choudhury, Return migration and geography of innovation in MNEs: A natural experiment of knowledge production by local workers reporting to return migrants. J. Econ. Geogr. 16, 585–610 (2016).

46

T. A. Fackler, Y. Giesing, N. Laurentsyeva, Knowledge remittances: Does emigration foster innovation? Res. Policy 49, 103863 (2020).

47

J. Gibson, D. McKenzie, Scientific mobility and knowledge networks in high emigration countries: Evidence from the Pacific. Res. Policy 43, 1486–1495 (2014).

48

C. V. Fry, Bridging the gap: Evidence from the return migration of African scientists. Organ. Sci. 34, 404–432 (2023).

49

D. M. Coluccia, G. Dossi, “Return innovation: The knowledge spillovers of the British migration to the US, 1870-1940” (Centre for Economic Performance Working Paper, 2023).

50

M. Prato, The global race for talent: Brain drain, knowledge transfer, and growth. Q. J. Econ. 140, 165–238 (2025).

51

A. Agrawal, D. Kapur, J. McHale, A. Oettl, Brain drain or brain bank? The impact of skilled emigration on poor-country innovation. J. Urban Econ. 69, 43–55 (2011).

52

D. M. Coluccia, L. Spadavecchia, “Emigration restrictions and economic development: Evidence from the Italian mass migration to the United States” (CESifo Working Paper, 2024).

53

T. Dinkelman, G. Kumchulesi, M. Mariotti, “Labor migration, capital accumulation, and the structure of rural labor markets” (NBER Working Paper 32144, 2024).

54

J. Gu, X. Pan, S. Zhang, J. Chen, International mobility matters: Research collaboration and scientific productivity. J. Informetrics 18, 101522 (2024).

55

A. Omar, Doria Arrieta, Fabio Pammolli, and Alexander M. Petersen. Quantifying the negative impact of brain drain on the integration of European science. Sci. Adv. 3, e1602232 (2017).

56

P. Levitt, Social remittances: Migration driven local-level forms of cultural diffusion. Int. Migr. Rev. 32, 926–948 (1998).

57

A. Spilimbergo, Democracy and foreign education. Am. Econ. Rev. 99, 528–5 43 (2009).

58

C. Batista, P. C. Vicente, Do migrants improve governance at home? Evidence from a voting experiment. The World Bank Economic Review 25, 77– 104 (2011).

59

L. Chauvet, M. Mercier, Do return migrants transfer political norms to their origin country? Evidence from Mali. Journal of Comparative Economics 42, 630– 651 (2014).

60

F. Docquier, E. Lodigiani, H. Rapoport, M. Schiff, Emigration and democracy. J. Dev. Econ. 120, 209–223 (2016).

61

M. Mercier, The return of the prodigy son: Do return migrants make better leaders? J. Dev. Econ. 122, 76–91 (2016).

62

T. Barsbai, H. Rapoport, A. Steinmayr, C. Trebesch, The effect of labor migration on the diffusion of democracy: Evidence from a former Soviet Republic. Am. Econ. J. Appl. Econ. 9, 36–69 (2017).

63

C. Batista, J. Seither, P. C. Vicente, Do migrant social networks shape political attitudes and behavior at home? World Dev. 117, 328–343 (2019).

64

C. Batista, L. Bohnet, J. Gazeaud, J. Seither, “Integrating immigrants as a tool for broad development” (NOVAFRICA Working Paper wp2205, 2024).

65

A. M. Mobarak, I. Sharif, M. Shrestha, Returns to international migration: Evidence from a Bangladesh-Malaysia visa lottery. Am. Econ. J. Appl. Econ. 15, 353–388 (2023).

66

M. Tuccio, J. Wahba, Return migration and the transfer of gender norms: Evidence from the Middle East. J. Comp. Econ. 46, 1006–1029 (2018).

67

S. Godlonton, C. Theoharides, “Diffusion of reproductive health behavior through international migration: Effects on origin-country fertility”, presented at Amherst College, Amherst, MA, November 15, 2024.

68

M. Beine, F. Docquier, M. Schiff, International migration, transfer of norms and home country fertility. Can. J. Econ. 46, 1406–1430 (2013).

69

S. Bertoli, F. Marchetta, Bringing it all back home Return migration and fertility choices. World Dev. 65, 27–40 (2015).

70

M. Clemens, C. Montenegro, L. Pritchett, The Place Premium: Bounding the price equivalent of migration barriers. Rev. Econ. Stat. 101, 201–213 (2019).

71

N. Gaikwad, K. Hanson, A. Toth, Bridging the Gulf: How migration fosters tolerance, cosmopolitanism, and support for globalization. Am. J. Pol. Sci. 2024, 1–18 (2024).

72

J. Gibson, D. McKenzie, H. Rohorua, S. Stillman, The long-term impacts of international migration: Evidence from a lottery. World Bank Economic Review 32, 127– 147 (2018).

73

M. A. Clemens, Economics and emigration: Trillion-dollar bills on the sidewalk. J. Econ. Perspect. 25, 83–106 (2011).

74

L. Pritchett, F. Hani, The Economics of International Wage Differentials and Migration (Oxford Research Encyclopedia of Economics and Finance, 2020).

75

L. Bossavie, J.-S. Gorlach, C. Ozden, H. Wang, “Temporary migration for long-term investment” (World Bank Group Working Paper 9740, 2021).

76

A. Cuadros-Menaca, A. Gaduh, Remittances, child labor, and schooling: Evidence from Colombia. Econ. Dev. Cult. Change 68, 1257–1293 (2020).

77

C. Dustmann, O. Kirchkamp, The optimal migration duration and activity choice after re-migration. J. Dev. Econ. 67, 351–372 (2002).

78

J. Gibson, D. McKenzie, S. Stillman, How important is selection? Experimental vs. non- experimental measures of the income gains from migration. J. Eur. Econ. Assoc. 8, 913–945 (2010).

79

A. Gröger, Easy come, easy go? Economic shocks, labor migration and the family left behind. J. Int. Econ. 128, 103409 (2019).

80

M. A. Hilmy, “Remittances, Economic Development, and Education Investment” (Univ. of New South Wales, Working Paper, (2022).

81

M. Mendola, Rural out-migration and economic development at origin: A review of the evidence. J. Int. Dev. 24, 102–122 (2013).

82

D. Yang, C. A. Martinez, in International Migration, Remittances, and the Brain Drain (World Bank and Palgrave Macmillan, 2006) Ç. Özden, M. Schiffpp, Eds. pp. 81–122.

83

C. Theoharides, The unintended consequences of migration policy on origin-country labor market decisions. J. Dev. Econ. 142, 102271 (2020).

84

M. E. Caballero, B. C. Cadena, B. K. Kovak, The international transmission of local economic shocks through migrant networks. J. Int. Econ. 145, 103832 (2023).

85

A. Bollard, D. McKenzie, M. Morten, H. Rapoport, Remittances and the brain drain revisited: The microdata show that more educated migrants remit more. World Bank Econ. Rev. 25, 132–156 (2011).

86

M. A. Clemens, “Do visas kill? Health effects of African health professional emigration” (Center for Global Development Working Paper, 2007).

87

E. N. Okeke, When a doctor falls from the sky: The impact of easing doctor supply constraints on mortality. Am. Econ. Rev. 113, 585–627 (2023).

88

C. Amuedo-Dorantes, S. Pozo, New evidence on the role of remittances on healthcare expenditures by Mexican households. Rev. Econ. Househ. 9, 69–98 (2011).

89

J. R. Bucheli, M. Fontenla, The impact of return migration on economic development. Rev. Econ. Stat. 107, 1–15 (2025).

90

N. Hildebrandt, D. J. McKenzie, G. Esquivel, E. Schargrodsky, The effects of migration on child health in Mexico. Economia 6, 257–289 (2005).

91

S. Chand, M. A. Clemens, Human capital investment under exit options: Evidence from a natural quasi-experiment. J. Dev. Econ. 163, 103112 (2023).

92

M. A. Clemens, Global Skill Partnerships: a proposal for technical training in a mobile world. IZA Journal of Labor Policy. 4, 681–730 2015.

94

F. Docquier, H. Rapoport, Globalization, brain drain, and development. J. Econ. Lit. 50, 681–730 (2012).

95

G. de Rassenfosse, T. Murovana, W.-H. Uhlbach, The effects of war on Ukrainian research. Humanities and Social Sciences Communications 10, 856 (2023).

96

R. Agarwal, I. Ganguli, P. Gaulé, G. Smith, Why U.S. immigration matters for the global advancement of science. Research Policy 52, 104659 (2023).

97

C. Batista, A. Lacuesta, P. C. Vicente, Testing the brain gain hypothesis: Micro evidence from Cape Verde. Journal of Development Economics 97, 32–45 (2012);

98

A. Bhargava, F. Docquier, Y. Moullan, Modeling the effects of physician emigration on human development. Economics & Human Biology 9, 172–183, (2011).

99

H. Brücker, S. Capuano, A. Marfouk, “Education, gender and international migration: Insights from a panel-dataset 1980-2010” (IAB Working Paper, 2013).

100

E. Gould, O. Moav, Israel’s brain drain. Israel Economic Review 5, 1–22 (2007).

101

J. Requena, C. Caputo, Loss of talent in Venezuela: Migration of its researchers. Interciencia 41, 444–453 (2016).

103

J. Wachs, Digital traces of brain drain: Developers during the Russian invasion of Ukraine. EPJ Data Science 12, 14 (2023).