IDEAS home Printed from https://ideas.repec.org/p/not/notgep/18-09.html
   My bibliography  Save this paper

Skill, innovation and wage inequality: Can immigrants be the trump card?

Author

Listed:
  • Gouranga Gopal Das
  • Sugata Marjit

Abstract

With the ensuing immigration reform in the US, the paper shows that targeted skilled immigration into the R&D sector that helps low-skilled labor is conducive for controlling inequality and raising wage. Skilled talent-led innovation could have spillover benefits for the unskilled sector while immigration into the production sector will always reduce wage, aggravating wage inequality. In essence, we infer: (i) if R&D inputs contributes only to skilled sector, wage inequality increases in general; (ii) for wage gap to decrease, R&D sector must produce inputs that goes into unskilled manufacturing sector; (iii) even with two types of specific R&D inputs entering into the skilled and unskilled sectors separately, unskilled labor is not always benefited by high skilled migrants into R&D-sector. Rather, it depends on the importance of migrants’ skill in R&D activities and intensity of inputs. Inclusive immigration policy requires inter-sectoral diffusion of ideas embedded in talented immigrants targeted for innovation.

Suggested Citation

  • Gouranga Gopal Das & Sugata Marjit, 2018. "Skill, innovation and wage inequality: Can immigrants be the trump card?," Discussion Papers 2018-09, University of Nottingham, GEP.
  • Handle: RePEc:not:notgep:18/09
    as

    Download full text from publisher

    File URL: https://www.nottingham.ac.uk/gep/documents/papers/2018/2018-09.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Feldstein, Martin, 2017. "Why is growth better in the United States than in other industrial countries?," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 655-659.
    2. J. David Brown & John S. Earle & Mee Jung Kim & Kyung Min Lee, 2019. "Immigrant Entrepreneurs and Innovation in the US High-Tech Sector," NBER Chapters, in: The Roles of Immigrants and Foreign Students in US Science, Innovation, and Entrepreneurship, pages 149-171, National Bureau of Economic Research, Inc.
    3. Saibal Kar & Hamid Beladi, 2017. "A Model of Smuggling and Trafficking of Illegal Immigrants with a Host Country Policy," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 698-712, August.
    4. Afonso, Helena & Holland, Dawn, 2018. "Trade policy and the United States labour market," Journal of Policy Modeling, Elsevier, vol. 40(3), pages 601-613.
    5. Richard B. Freeman, 2015. "Immigration, International Collaboration, and Innovation: Science and Technology Policy in the Global Economy," Innovation Policy and the Economy, University of Chicago Press, vol. 15(1), pages 153-175.
    6. George J. Borjas & Kirk B. Doran, 2015. "How High-Skill Immigration Affects Science: Evidence from the Collapse of the USSR," Innovation Policy and the Economy, University of Chicago Press, vol. 15(1), pages 1-25.
    7. Gaetano Basso & Giovanni Peri & Ahmed S. Rahman, 2020. "Computerization and immigration: Theory and evidence from the United States," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(4), pages 1457-1494, November.
    8. Rogge, Nicky, 2019. "EU countries’ progress towards ‘Europe 2020 strategy targets’," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 255-272.
    9. Nir Jaimovich & Henry E. Siu, 2017. "High-Skilled Immigration, STEM Employment, and Nonroutine-Biased Technical Change," NBER Chapters, in: High-Skilled Migration to the United States and Its Economic Consequences, pages 177-204, National Bureau of Economic Research, Inc.
    10. Ceren Ozgen & Peter Nijkamp & Jacques Poot, 2012. "Immigration and innovation in European regions," Chapters, in: Peter Nijkamp & Jacques Poot & Mediha Sahin (ed.), Migration Impact Assessment, chapter 8, pages 261-298, Edward Elgar Publishing.
    11. Ganguli, Ina, 2014. "Immigration & Ideas: What Did Russian Scientists 'Bring' to the US?," SITE Working Paper Series 30, Stockholm School of Economics, Stockholm Institute of Transition Economics.
    12. Mayda, Anna Maria & Ortega, Francesc & Peri, Giovanni & Shih, Kevin & Sparber, Chad, 2018. "The effect of the H-1B quota on the employment and selection of foreign-born labor," European Economic Review, Elsevier, vol. 108(C), pages 105-128.
    13. Hamid Beladi & Sugata Marjit & Lei Yang, 2012. "Outsourcing: Volume and Composition of R&D," Review of International Economics, Wiley Blackwell, vol. 20(4), pages 828-840, September.
    14. Stiglitz, Joseph E., 2018. "Trump and Globalization," Journal of Policy Modeling, Elsevier, vol. 40(3), pages 515-528.
    15. John Horton & William R. Kerr & Christopher Stanton, 2017. "Digital Labor Markets and Global Talent Flows," NBER Chapters, in: High-Skilled Migration to the United States and Its Economic Consequences, pages 71-108, National Bureau of Economic Research, Inc.
    16. Ran Abramitzky & Leah Boustan, 2017. "Immigration in American Economic History," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1311-1345, December.
    17. Chong-Uk Kim & Gieyoung Lim, 2017. "Immigration and domestic wage: an empirical study on competition among immigrants," Applied Economics, Taylor & Francis Journals, vol. 49(34), pages 3351-3358, July.
    18. Salvatore, Dominick & Campano, Fred, 2019. "Global implications of U.S. trade policies for reducing structural trade imbalances," Journal of Policy Modeling, Elsevier, vol. 41(3), pages 537-545.
    19. Alessandra Venturini & Claudio Fassio & Sona Kalantaryan, 2015. "Human Resources and Innovation: Total Factor Productivity and Foreign Human Capital," Discussion Papers 29, Central European Labour Studies Institute (CELSI).
    20. William R. Kerr & William F. Lincoln, 2010. "The Supply Side of Innovation: H-1B Visa Reforms and U.S. Ethnic Invention," Journal of Labor Economics, University of Chicago Press, vol. 28(3), pages 473-508, July.
    21. Marcel Thum, 2004. "Controlling Migration in an Open Labor Market," Public Choice, Springer, vol. 119(3_4), pages 425-443, June.
    22. Sugata Marjit & Saibal Kar, 2013. "International Capital Flow, Vanishing Industries and Two-sided Wage Inequality," Pacific Economic Review, Wiley Blackwell, vol. 18(5), pages 574-583, December.
    23. Ronald W. Jones, 2018. "The Structure of Simple General Equilibrium Models," World Scientific Book Chapters, in: International Trade Theory and Competitive Models Features, Values, and Criticisms, chapter 4, pages 61-84, World Scientific Publishing Co. Pte. Ltd..
    24. Chaudhuri, Sarbajit & Yabuuchi, Shigemi, 2007. "Economic liberalization and wage inequality in the presence of labour market imperfection," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 592-603.
    25. Keith McLeod & Richard Fabling & David C. Maré, 2014. "Hiring New Ideas: International Migration and Firm Innovation in New Zealand," Working Papers 14_14, Motu Economic and Public Policy Research.
    26. Summers, Lawrence, 2018. "TrumpEconomics: A first year evaluation," Journal of Policy Modeling, Elsevier, vol. 40(3), pages 529-545.
    27. Shiller, Robert J., 2019. "Narratives about technology-induced job degradation then and now," Journal of Policy Modeling, Elsevier, vol. 41(3), pages 477-488.
    28. William R. Kerr, 2013. "U.S. High-Skilled Immigration, Innovation, and Entrepreneurship: Empirical Approaches and Evidence," NBER Working Papers 19377, National Bureau of Economic Research, Inc.
    29. Gould, David M. & Panterov, Georgi, 2017. "Multidimensional connectivity: Why the interplay of international connections matters for knowledge transfers," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 699-711.
    30. Robert J. Shiller, 2019. "Narratives about Technology-Induced Job Degradations Then and Now," NBER Working Papers 25536, National Bureau of Economic Research, Inc.
    31. Pegkas, Panagiotis & Staikouras, Christos & Tsamadias, Constantinos, 2019. "Does research and development expenditure impact innovation? Evidence from the European Union countries," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 1005-1025.
    32. Basu, Kaushik, 2016. "Globalization of labor markets and the growth prospects of nations," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 656-669.
    33. Zeira, Joseph, 2007. "Wage inequality, technology, and trade," Journal of Economic Theory, Elsevier, vol. 137(1), pages 79-103, November.
    34. Shimada, Akira, 2005. "Foreign worker participation in labor markets and the economy's welfare," Journal of Policy Modeling, Elsevier, vol. 27(3), pages 355-362, April.
    35. Chaudhuri, Sarbajit & Marjit, Sugata, 2017. "International trade and quality of labour," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 582-595.
    36. Koppel, Oliver & Plünnecke, Axel, 2017. "Immigration and STEM: Qualified immigration from India showing signs of success," IW-Kurzberichte 15.2017e, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    37. Gordon, Robert J. & Sayed, Hassan, 2019. "Prospects for a revival in U. S. productivity growth," Journal of Policy Modeling, Elsevier, vol. 41(3), pages 444-458.
    38. Beladi, Hamid & Marjit, Sugata & Weiher, Kenneth, 2011. "An analysis of the demand for skill in a growing economy," Economic Modelling, Elsevier, vol. 28(4), pages 1471-1474, July.
    39. Gaurav Khanna & Nicolas Morales, 2017. "The IT Boom and Other Unintended Consequences of Chasing the American Dream - Working Paper 460," Working Papers 460, Center for Global Development.
    40. Salvatore, Dominick, 2017. "Where is the world economy headed?: An overview," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 594-602.
    41. Kar, Saibal & Beladi, Hamid, 2004. "Skill formation and international migration: welfare perspective of developing countries," Japan and the World Economy, Elsevier, vol. 16(1), pages 35-54, January.
    42. Eric T. Stuen & Ahmed Mushfiq Mobarak & Keith E. Maskus, 2012. "Skilled Immigration and Innovation: Evidence from Enrolment Fluctuations in US Doctoral Programmes," Economic Journal, Royal Economic Society, vol. 122(565), pages 1143-1176, December.
    43. Robert J. Shiller, 2019. "Narratives About Technology-Induced Job Degradation Then and Now," Cowles Foundation Discussion Papers 2168, Cowles Foundation for Research in Economics, Yale University.
    44. Salvatore, Dominick, 2019. "Overview of technology, productivity, trade, growth, and jobs in the United States and the world," Journal of Policy Modeling, Elsevier, vol. 41(3), pages 435-443.
    45. Marjit, Sugata & Kar, Saibal, 2005. "Emigration and wage inequality," Economics Letters, Elsevier, vol. 88(1), pages 141-145, July.
    46. Ronald Jones & Sugata Marjit, 2009. "Competitive trade models and real world features," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 41(1), pages 163-174, October.
    47. Basu, Kaushik, 2018. "The rise of Trump and an agenda for regulatory reform," Journal of Policy Modeling, Elsevier, vol. 40(3), pages 546-558.
    48. Kacey Douglas, 2015. "International knowledge flows and technological advance: the role of migration," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mandal, Biswajit & Chaudhuri, Saswati & Prasad, Alaka Shree, 2020. "Unemployment of Unskilled Labor due to COVID-19 led Restriction on Migration and Trade," GLO Discussion Paper Series 614, Global Labor Organization (GLO).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Das, Gouranga Gopal & Marjit, Sugata & Kar, Mausumi, 2020. "The Impact of Immigration on Skills, Innovation and Wages: Education Matters more than where People Come from," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 557-582.
    2. Biswajit Mandal & Sugata Marjit & Noritsugu Nakanishi, 2018. "Outsourcing, factor prices and skill formation in countries with non-overlapping time zones," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 289-304, August.
    3. Mandal, Biswajit & Marjit, Sugata & Nakanishi, Noritsugu, 2013. "Time Zones, Factor Prices and Inflow of Educational Capital: Changing Sectoral Composition," MPRA Paper 50883, University Library of Munich, Germany.
    4. Manash Ranjan Gupta & Priya Brata Dutta, 2018. "Skilled-unskilled wage inequality and structural transformation in a dual economy," Indian Economic Review, Springer, vol. 53(1), pages 311-332, December.
    5. Nathan, Max, 2013. "The Wider Economic Impacts of High-Skilled Migrants: A Survey of the Literature," IZA Discussion Papers 7653, Institute of Labor Economics (IZA).
    6. Kuo‐Hsing Kuo & Shang‐Fen Wu & Cheng‐Te Lee, 2022. "The impact of environmental policy on wage inequality," International Journal of Economic Theory, The International Society for Economic Theory, vol. 18(4), pages 472-485, December.
    7. Sari Pekkala Kerr & William R. Kerr & William F. Lincoln, 2015. "Firms and the Economics of Skilled Immigration," Innovation Policy and the Economy, University of Chicago Press, vol. 15(1), pages 115-152.
    8. Lin, Gary C., 2019. "High-skilled immigration and native task specialization in U.S. cities," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 289-305.
    9. Pi, Jiancai & Zhang, Pengqing, 2017. "Foreign capital, pollution control, and wage inequality in developing countries," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 280-288.
    10. Sugata Marjit & Saibal Kar, 2019. "International Capital Flows, Land Conversion and Wage Inequality in Poor Countries," Open Economies Review, Springer, vol. 30(5), pages 933-945, November.
    11. Matthias Niggli, 2023. "‘Moving On’—investigating inventors’ ethnic origins using supervised learning," Review of Finance, European Finance Association, vol. 23(4), pages 921-947.
    12. Matthias Niggli, 2023. "‘Moving On’—investigating inventors’ ethnic origins using supervised learning," Journal of Economic Geography, Oxford University Press, vol. 23(4), pages 921-947.
    13. Biswajit Mandal & Sangita Roy, 2018. "Inflow of educational capital, trade liberalization, skill formation and informal sector," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(1), pages 115-129, April.
    14. Crown, Daniel & Faggian, Alessandra & Corcoran, Jonathan, 2020. "Foreign-Born graduates and innovation: Evidence from an Australian skilled visa program✰,✰✰,★,★★," Research Policy, Elsevier, vol. 49(9).
    15. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    16. Lo Sasso, Anthony T., 2021. "Regulating high-skilled immigration: The market for medical residents," Journal of Health Economics, Elsevier, vol. 76(C).
    17. Pi, Jiancai & Zhang, Pengqing, 2021. "Redistribution and wage inequality," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 510-523.
    18. Sari Pekkala Kerr & William Kerr & Çağlar Özden & Christopher Parsons, 2017. "High-Skilled Migration and Agglomeration," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 201-234, September.
    19. Chaudhuri, Sarbajit, 2014. "Public Subsidy on Education, Welfare, and Wage Inequality in a Small Open Developed Economy: A Two-period Analysis," MPRA Paper 60330, University Library of Munich, Germany.
    20. Gupta, Manash Ranjan & Dutta, Priya Brata, 2012. "Skilled–unskilled wage inequality, product variety, public input and increasing returns: A static general equilibrium analysis," Economic Modelling, Elsevier, vol. 29(2), pages 502-513.

    More about this item

    Keywords

    H1B; Immigration; Innovation; Wage gap; Skill; R&D; Policy; RAISE Act.;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:not:notgep:18/09. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hilary Hughes (email available below). General contact details of provider: https://edirc.repec.org/data/cgnotuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.