IDEAS home Printed from https://ideas.repec.org/p/crr/crrwps/wp2020-10.html
   My bibliography  Save this paper

Technological Innovation and Labor Income Risk

Author

Listed:
  • Leonid Kogan
  • Dimitris Papanikolaou
  • Lawrence D. W. Schmidt
  • Jae Song

Abstract

This paper examines the relationship between technological progress and the riskiness of labor income using employer-employee matched income data from the United States. Results suggest innovation is associated with a substantial increase in the labor income risk, especially for workers at the top of the earnings distribution.

Suggested Citation

  • Leonid Kogan & Dimitris Papanikolaou & Lawrence D. W. Schmidt & Jae Song, 2020. "Technological Innovation and Labor Income Risk," Working Papers, Center for Retirement Research at Boston College 202010, Center for Retirement Research.
  • Handle: RePEc:crr:crrwps:wp2020-10
    as

    Download full text from publisher

    File URL: https://crr.bc.edu/working-papers/technological-innovation-and-labor-income-risk/
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    2. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    3. Fatih Guvenen & Serdar Ozkan & Jae Song, 2014. "The Nature of Countercyclical Income Risk," Journal of Political Economy, University of Chicago Press, vol. 122(3), pages 621-660.
    4. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    5. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    6. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    7. David H. Autor & David Dorn & Gordon H. Hanson & Jae Song, 2014. "Trade Adjustment: Worker-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1799-1860.
    8. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    9. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    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. Moser, Christian & Saidi, Farzad & Wirth, Benjamin & Wolter, Stefanie, 2020. "Credit Supply, Firms, and Earnings Inequality," MPRA Paper 100371, University Library of Munich, Germany.
    2. Haddad, Valentin & Ho, Paul & Loualiche, Erik, 2022. "Bubbles and the value of innovation," Journal of Financial Economics, Elsevier, vol. 145(1), pages 69-84.
    3. John Carter Braxton & Kyle F. Herkenhoff & Jonathan Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," Opportunity and Inclusive Growth Institute Working Papers 55, Federal Reserve Bank of Minneapolis.
    4. Johan Hombert & Adrien Matray, 2019. "Technology Boom, Labor Reallocation, and Human Capital Depreciation," Working Papers 260, Princeton University, Department of Economics, Center for Economic Policy Studies..
    5. Purnomo, Agung, 2022. "Desa Wirausaha sebagai Eskalasi Ekonomi Desa berbasis Kewirausahaan," OSF Preprints np629, Center for Open Science.
    6. d'Astous, Philippe & Shore, Stephen H., 2024. "Human capital risk and portfolio choices: Evidence from university admission discontinuities," Journal of Financial Economics, Elsevier, vol. 154(C).
    7. Hombert, Johan & Matray, Adrien, 2019. "Technology Boom, Labor Reallocation, and Human Capital Depreciation," CEPR Discussion Papers 14136, C.E.P.R. Discussion Papers.

    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. John Carter Braxton & Kyle F. Herkenhoff & Jonathan Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," Opportunity and Inclusive Growth Institute Working Papers 55, Federal Reserve Bank of Minneapolis.
    2. Martin Biewen & Matthias Seckler, 2019. "Unions, Internationalization, Tasks, Firms, and Worker Characteristics: A Detailed Decomposition Analysis of Rising Wage Inequality in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 461-498, December.
    3. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    4. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    5. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    6. Daniel Baumgarten & Gabriel Felbermayr & Sybille Lehwald, 2020. "Dissecting Between‐Plant and Within‐Plant Wage Dispersion: Evidence from Germany," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 59(1), pages 85-122, January.
    7. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. David Autor & David Dorn & Gordon H. Hanson & Gary Pisano & Pian Shu, 2020. "Foreign Competition and Domestic Innovation: Evidence from US Patents," American Economic Review: Insights, American Economic Association, vol. 2(3), pages 357-374, September.
    9. Iv'an Fern'andez-Val & Franco Peracchi & Aico van Vuuren & Francis Vella, 2018. "Selection and the Distribution of Female Hourly Wages in the U.S," Papers 1901.00419, arXiv.org, revised Jan 2022.
    10. Biewen, Martin & Seckler, Matthias, 2017. "Changes in the German Wage Structure: Unions, Internationalization, Tasks, Firms, and Worker Characteristics," IZA Discussion Papers 10763, Institute of Labor Economics (IZA).
    11. Ghosh, Pallab Kumar, 2014. "The contribution of human capital variables to changes in the wage distribution function," Labour Economics, Elsevier, vol. 28(C), pages 58-69.
    12. Victor Chernozhukov & Iván Fernández-Val & Blaise Melly, 2022. "Fast algorithms for the quantile regression process," Empirical Economics, Springer, vol. 62(1), pages 7-33, January.
    13. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    14. Brian Bell & Paweł Bukowski & Stephen Machin, 2024. "The Decline in Rent Sharing," Journal of Labor Economics, University of Chicago Press, vol. 42(3), pages 683-716.
    15. José L. Groizard & Xisco Oliver & María Sard, 2022. "An account of the exporter wage gap: Wage structure and composition effects across the wage distribution," The World Economy, Wiley Blackwell, vol. 45(5), pages 1528-1563, May.
    16. Brantly Callaway & Weige Huang, 2020. "Distributional Effects of a Continuous Treatment with an Application on Intergenerational Mobility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 808-842, August.
    17. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    18. Sergio Longobardi & Margherita Maria Pagliuca & Andrea Regoli, 2018. "Can problem-solving attitudes explain the gender gap in financial literacy? Evidence from Italian students’ data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1677-1705, July.
    19. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    20. Männasoo, Kadri, 2022. "Working hours and gender wage differentials: Evidence from the American Working Conditions Survey," Labour Economics, Elsevier, vol. 76(C).

    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:crr:crrwps:wp2020-10. 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: Amy Grzybowski or Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/crrbcus.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.