IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/24-33.html
   My bibliography  Save this paper

Urban-Biased Growth: A Macroeconomic Analysis

Author

Listed:
  • Fabian Eckert
  • Sharat Ganapati
  • Conor Walsh

Abstract

After 1980, larger US cities experienced substantially faster wage growth than smaller ones. We show that this urban bias mainly reflected wage growth at large Business Services firms. These firms stand out through their high per-worker expenditure on information technology and disproportionate presence in big cities. We introduce a spatial model of investment-specific technical change that can rationalize these patterns. Using the model as an accounting framework, we find that the observed decline in the investment price of information technology capital explains most urban-biased growth by raising the profits of large Business Services firms in big cities.

Suggested Citation

  • Fabian Eckert & Sharat Ganapati & Conor Walsh, 2024. "Urban-Biased Growth: A Macroeconomic Analysis," Working Papers 24-33, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:24-33
    as

    Download full text from publisher

    File URL: https://www2.census.gov/library/working-papers/2024/adrm/ces/CES-WP-24-33.pdf
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pierre‐Philippe Combes & Gilles Duranton & Laurent Gobillon & Diego Puga & Sébastien Roux, 2012. "The Productivity Advantages of Large Cities: Distinguishing Agglomeration From Firm Selection," Econometrica, Econometric Society, vol. 80(6), pages 2543-2594, November.
    2. Fabian Eckert, 2019. "Growing Apart: Tradable Services and the Fragmentation of the U.S. Economy," 2019 Meeting Papers 307, Society for Economic Dynamics.
    3. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    4. Redding, Stephen J., 2016. "Goods trade, factor mobility and welfare," Journal of International Economics, Elsevier, vol. 101(C), pages 148-167.
    5. Ravikumar, B. & Santacreu, Ana Maria & Sposi, Michael, 2019. "Capital accumulation and dynamic gains from trade," Journal of International Economics, Elsevier, vol. 119(C), pages 93-110.
    6. Esteban Rossi-Hansberg & Pierre-Daniel Sarte & Felipe Schwartzman, 2019. "Cognitive Hubs and Spatial Redistribution," NBER Working Papers 26267, National Bureau of Economic Research, Inc.
    7. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    8. Dante J. Scala & Kenneth M. Johnson, 2017. "Political Polarization along the Rural-Urban Continuum? The Geography of the Presidential Vote, 2000–2016," The ANNALS of the American Academy of Political and Social Science, , vol. 672(1), pages 162-184, July.
    9. Nicholas Bloom & Mirko Draca & John Van Reenen, 2016. "Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(1), pages 87-117.
    10. Paul Beaudry & Mark Doms & Ethan Lewis, 2010. "Should the Personal Computer Be Considered a Technological Revolution? Evidence from U.S. Metropolitan Areas," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 988-1036.
    11. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 63-84, Suppl. De.
    12. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    13. Paul Goldsmith-Pinkham & Isaac Sorkin & Henry Swift, 2020. "Bartik Instruments: What, When, Why, and How," American Economic Review, American Economic Association, vol. 110(8), pages 2586-2624, August.
    14. James E Anderson & Mario Larch & Yoto V Yotov, 2020. "Transitional Growth and Trade with Frictions: A Structural Estimation Framework," The Economic Journal, Royal Economic Society, vol. 130(630), pages 1583-1607.
    15. Erhan Artuç & Shubham Chaudhuri & John McLaren, 2010. "Trade Shocks and Labor Adjustment: A Structural Empirical Approach," American Economic Review, American Economic Association, vol. 100(3), pages 1008-1045, June.
    16. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    17. Rebecca Diamond, 2016. "The Determinants and Welfare Implications of US Workers' Diverging Location Choices by Skill: 1980-2000," American Economic Review, American Economic Association, vol. 106(3), pages 479-524, March.
    18. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    19. Ganong, Peter & Shoag, Daniel, 2017. "Why has regional income convergence in the U.S. declined?," Journal of Urban Economics, Elsevier, vol. 102(C), pages 76-90.
    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. Fabian Eckert & Sharat Ganapati & Conor Walsh, 2020. "Urban-Biased Growth: A Macroeconomic Analysis," CESifo Working Paper Series 8705, CESifo.
    2. Benny Kleinman & Ernest Liu & Stephen J. Redding, 2023. "Dynamic Spatial General Equilibrium," Econometrica, Econometric Society, vol. 91(2), pages 385-424, March.
    3. Redding, Stephen, 2020. "Trade and Geography," CEPR Discussion Papers 15268, C.E.P.R. Discussion Papers.
    4. Stef Proost & Jacques-François Thisse, 2019. "What Can Be Learned from Spatial Economics?," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 575-643, September.
    5. Feng, Shuaizhang & Xia, Xiaoyu, 2022. "Heterogeneous firm responses to increases in high-skilled workers: Evidence from China's college enrollment expansion," China Economic Review, Elsevier, vol. 73(C).
    6. Lena Edlund & Cecilia Machado & Maria Sviatschi, 2022. "Gentrification and the Rising Returns to Skill," Economica, London School of Economics and Political Science, vol. 89(354), pages 258-292, April.
    7. Seidel, Tobias & Wickerath, Jan, 2020. "Rush hours and urbanization," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    8. Gallagher, Ryan M., 2021. "Income segregation's impact on local public expenditures: Evidence from municipalities and school districts, 1980–2010," Regional Science and Urban Economics, Elsevier, vol. 90(C).
    9. Ferdinando Monte & Stephen J. Redding & Esteban Rossi-Hansberg, 2018. "Commuting, Migration, and Local Employment Elasticities," American Economic Review, American Economic Association, vol. 108(12), pages 3855-3890, December.
    10. Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2014. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," Management Science, INFORMS, vol. 60(12), pages 2859-2885, December.
    11. Ana Maria Santacreu & Michael Sposi & Jing Zhang, 2021. "What Determines State Heterogeneity in Response to US Tariff Changes?," Working Papers 2021-007, Federal Reserve Bank of St. Louis, revised 08 Mar 2023.
    12. Stephen J. Redding & Esteban Rossi-Hansberg, 2017. "Quantitative Spatial Economics," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 21-58, September.
    13. Oshiro, Jun & Sato, Yasuhiro, 2021. "Industrial structure in urban accounting," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    14. Bauluz, Luis & Bukowski, Pawel & Fransham, Mark & Lee, Annie Seong & López Forero, Margarita & Novokmet, Filip & Breau, Sébastien & Lee, Neil & Malgouyres, Clément & Schularick, Moritz & Verdugo, Greg, 2023. "Spatial wage inequality in North America and Western Europe: changes between and within local labour markets 1975-2019," LSE Research Online Documents on Economics 121290, London School of Economics and Political Science, LSE Library.
    15. Monras, Joan, 2015. "Economic Shocks and Internal Migration," IZA Discussion Papers 8840, Institute of Labor Economics (IZA).
    16. Kirill Borusyak & Peter Hull & Xavier Jaravel, 2022. "Quasi-Experimental Shift-Share Research Designs [Sampling-based vs. Design-based Uncertainty in Regression Analysis]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 181-213.
    17. Farid Farrokhi, 2021. "Skill, Agglomeration, And Inequality In The Spatial Economy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 671-721, May.
    18. Mike Zabek, 2024. "Local Ties in Spatial Equilibrium," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(2), pages 287-317, April.
    19. Irene Brambilla, 2018. "Digital Technology Adoption and Jobs: A Model of Firm Heterogeneity," Department of Economics, Working Papers 117, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    20. Benjamin Austin & Edward Glaeser & Lawrence Summers, 2018. "Jobs for the Heartland: Place-Based Policies in 21st-Century America," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 151-255.

    More about this item

    Keywords

    Urban Growth; High-skill Services; Technological Change;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:cen:wpaper:24-33. 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: Dawn Anderson (email available below). General contact details of provider: https://edirc.repec.org/data/cesgvus.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.