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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
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    File URL: https://crr.bc.edu/working-papers/technological-innovation-and-labor-income-risk/
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. José A. F. Machado & José Mata, 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, May.
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    Citations

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    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. Hombert, Johan & Matray, Adrien, 2019. "Technology Boom, Labor Reallocation, and Human Capital Depreciation," CEPR Discussion Papers 14136, C.E.P.R. Discussion Papers.
    5. 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..
    6. Purnomo, Agung, 2022. "Desa Wirausaha sebagai Eskalasi Ekonomi Desa berbasis Kewirausahaan," OSF Preprints np629, Center for Open Science.

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    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

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