IDEAS home Printed from https://ideas.repec.org/p/hhs/cesisp/0304.html
   My bibliography  Save this paper

The Geography of Inequality: Difference and Determinants of Wage and Income Inequality across US Metros

Author

Listed:
  • Florida , Richard

    (University of Toronto)

  • Mellander , Charlotta

    (Jönköping International Business School)

Abstract

This paper examines the geographic variation in inequality, and it distinguishes between wage and income inequality. Wage inequality is associated with skills, human capital, technology and metro size - in line with the literature on skill-biased technical change. Income inequality is instead more closely associated with race, poverty, lower levels of unionization and lower taxes. This suggests that income inequality is a product not only of skill-biased technical change, but also of the enduring legacy of race and poverty at the bottom of the socio-economic order, as well as the unraveling of the post-war social compact between capital and labor.

Suggested Citation

  • Florida , Richard & Mellander , Charlotta, 2013. "The Geography of Inequality: Difference and Determinants of Wage and Income Inequality across US Metros," Working Paper Series in Economics and Institutions of Innovation 304, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  • Handle: RePEc:hhs:cesisp:0304
    as

    Download full text from publisher

    File URL: https://static.sys.kth.se/itm/wp/cesis/cesiswp304.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Berry, Christopher R. & Glaeser, Edward L., 2005. "Divergence of Human Capital Levels across Cities," Working Paper Series rwp05-057, Harvard University, John F. Kennedy School of Government.
    2. Richard Florida & Charlotta Mellander & Kevin Stolarick, 2008. "Inside the black box of regional development: human capital, the creative class and tolerance," Journal of Economic Geography, Oxford University Press, vol. 8(5), pages 615-649, September.
    3. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1055-1089.
    4. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    5. Stiglitz, Joseph E, 1969. "Distribution of Income and Wealth among Individuals," Econometrica, Econometric Society, vol. 37(3), pages 382-397, July.
    6. Nathaniel Baum-Snow & Ronni Pavan, 2013. "Inequality and City Size," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1535-1548, December.
    7. Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," The World Bank Economic Review, World Bank, vol. 10(3), pages 565-591, September.
    8. Enrico Moretti, 2013. "Real Wage Inequality," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 65-103, January.
    9. Joakim Palme & Walter Korpi, 1998. "The Paradox of Redistribution and Strategies of Equality: Welfare State Institutions, Inequality and Poverty in the Western Countries," LIS Working papers 174, LIS Cross-National Data Center in Luxembourg.
    10. Boyd Hamilton Hunter, 2003. "Trends in neighbourhood inequality of Australian, Canadian, and United States of America cities since the 1970s," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 43(1), pages 22-44, March.
    11. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    12. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    13. Adams, Richard H. Jr., 2003. "Economic growth, inequality, and poverty : findings from a new data set," Policy Research Working Paper Series 2972, The World Bank.
    14. Timothy J. Bartik, 1992. "The Effects of State and Local Taxes on Economic Development: A Review of Recent Research," Economic Development Quarterly, , vol. 6(1), pages 102-111, February.
    15. Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," The World Bank Economic Review, World Bank, vol. 10(3), pages 565-591, September.
    16. Christopher R. Berry & Edward L. Glaeser, 2005. "The divergence of human capital levels across cities," Papers in Regional Science, Wiley Blackwell, vol. 84(3), pages 407-444, August.
    17. Alan Manning, 2004. "We Can Work It Out: the Impact of Technological Change on the Demand for Low Skill Workers," CEP Discussion Papers dp0640, Centre for Economic Performance, LSE.
    18. Christopher R. Berry & Edward L. Glaeser, 2005. "The Divergence of Human Capital Levels across Cities," Harvard Institute of Economic Research Working Papers 2091, Harvard - Institute of Economic Research.
    19. Alan Manning, 2004. "We Can Work It Out: The Impact of Technological Change on the Demand for Low‐Skill Workers," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(5), pages 581-608, November.
    20. Christopher R. Berry & Edward L. Glaeser, 2005. "The Divergence of Human Capital Levels Across Cities," NBER Working Papers 11617, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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. Antonio Accetturo & Alberto Dalmazzo & Guido Blasio, 2014. "Skill Polarization In Local Labor Markets Under Share-Altering Technical Change," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 249-272, March.
    2. Richard Florida & Charlotta Mellander, 2018. "The Geography of Economic Segregation," Social Sciences, MDPI, vol. 7(8), pages 1-17, July.
    3. John V. Winters, 2013. "Human capital externalities and employment differences across metropolitan areas of the USA," Journal of Economic Geography, Oxford University Press, vol. 13(5), pages 799-822, September.
    4. Suzanne Kok & Bas ter Weel, 2014. "Cities, Tasks, And Skills," Journal of Regional Science, Wiley Blackwell, vol. 54(5), pages 856-892, November.
    5. Paula Prenzel & Simona Iammarino, 2018. "Ageing labour: How does demographic change affect regional human capital?," Papers in Evolutionary Economic Geography (PEEG) 1832, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2018.
    6. Fabian Eckert & Sharat Ganapati & Conor Walsh, 2020. "Urban-Biased Growth: A Macroeconomic Analysis," CESifo Working Paper Series 8705, CESifo.
    7. Allen J. Scott, 2010. "Space‐Time Variations of Human Capital Assets Across U.S. Metropolitan Areas, 1980 to 2000," Economic Geography, Clark University, vol. 86(3), pages 233-250, July.
    8. Justin Visagie & Ivan Turok, 2022. "Firing on all cylinders: Decomposing regional growth dynamics in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 90(1), pages 57-74, March.
    9. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    10. Paula Prenzel & Simona Iammarino, 2021. "Labor Force Aging and the Composition of Regional Human Capital," Economic Geography, Taylor & Francis Journals, vol. 97(2), pages 140-163, March.
    11. Berger, Thor & Frey, Carl Benedikt, 2016. "Did the Computer Revolution shift the fortunes of U.S. cities? Technology shocks and the geography of new jobs," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 38-45.
    12. Lindley, Joanne & Machin, Stephen, 2014. "Spatial changes in labour market inequality," Journal of Urban Economics, Elsevier, vol. 79(C), pages 121-138.
    13. Stefano Magrini & Alessandro Spiganti, 2024. "A tale of two cities: Communication, innovation, and divergence," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 390-413, January.
    14. Pan, Liqun & Mukhopadhaya, Pundarik & Li, Jing, 2019. "The changing texture of the city-size wage differential in Chinese cities – Effects of skill and identity," China Economic Review, Elsevier, vol. 53(C), pages 191-210.
    15. David H. Autor, 2019. "Work of the Past, Work of the Future," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 1-32, May.
    16. Suzanne Kok & Bas ter Weel, 2014. "Cities, Tasks and Skills," CPB Discussion Paper 269, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Jos� Lobo & Charlotta Mellander & Kevin Stolarick & Deborah Strumsky, 2014. "The Inventive, the Educated and the Creative: How Do They Affect Metropolitan Productivity?," Industry and Innovation, Taylor & Francis Journals, vol. 21(2), pages 155-177, February.
    18. Cristiano Perugini & Gaetano Martino, 2008. "Income Inequality Within European Regions: Determinants And Effects On Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 373-406, September.
    19. Krenz, Astrid, 2016. "Agglomeration of knowledge in the German regional economy," University of Göttingen Working Papers in Economics 277, University of Goettingen, Department of Economics.
    20. Di Cataldo, Marco & Rodríguez-Pose, Andrés, 2016. "What drives employment growth and social inclusion in EU regions," LSE Research Online Documents on Economics 68510, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    inequality; income; wage; high-tech; skills;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General

    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:hhs:cesisp:0304. 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: Vardan Hovsepyan (email available below). General contact details of provider: https://edirc.repec.org/data/cekthse.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.