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Automation and Offshoring in Durable Goods Manufacturing: An Indiana Case Study

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  • Timothy F. Slaper

Abstract

The loss of manufacturing jobs is largely attributed to either offshoring or automation. Using state-level data from the Annual Survey of Manufactures and unit record administrative data from the Indiana Department of Workforce Development, we determine the drivers of durable goods manufacturing employment losses in Indiana. We test a simple model that explains changes in industry production employment by changes in output, wages, intermediate input consumption, productivity, capital-to-labor ratios, or a proxy related to these explanatory variables. Using the unit record data, the authors assess the consequences of large layoff events on the wages of those who remain employed at a particular manufacturing establishment. The data suggest that offshoring was the primary driver for employment losses and productivity gains in Indiana, not automation. We also find that average wages for workers at establishments that experienced large redundancy events rose for those workers who remained after large layoff events.

Suggested Citation

  • Timothy F. Slaper, 2019. "Automation and Offshoring in Durable Goods Manufacturing: An Indiana Case Study," Economic Development Quarterly, , vol. 33(1), pages 19-38, February.
    • Handle: RePEc:sae:ecdequ:v:33:y:2019:i:1:p:19-38
    DOI: 10.1177/0891242418807557
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    References listed on IDEAS

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    1. Eli Berman & John Bound & Zvi Griliches, 1994. "Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 367-397.
    2. Robert C. Feenstra & Gordon H. Hanson, 1999. "The Impact of Outsourcing and High-Technology Capital on Wages: Estimates For the United States, 1979–1990," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 907-940.
    3. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    4. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The Geography of Trade and Technology Shocks in the United States," American Economic Review, American Economic Association, vol. 103(3), pages 220-225, May.
    5. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    6. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    7. Susan HOUSEMAN, 2007. "Outsourcing, offshoring and productivity measurement in United States manufacturing," International Labour Review, International Labour Organization, vol. 146(1-2), pages 61-80, March.
    8. Cliff Waldman, 2016. "The Evolving Contours of Productivity Performance and Automation Investment in U.S. Manufacturing," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 213-238, October.
    9. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    10. Karsten Bjerring Olsen, 2006. "Productivity Impacts of Offshoring and Outsourcing: A Review," OECD Science, Technology and Industry Working Papers 2006/1, OECD Publishing.
    11. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    12. Alan S. Blinder, 2009. "How Many US Jobs Might be Offshorable?," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 10(2), pages 41-78, April.
    13. Susan Houseman & Christopher Kurz & Paul Lengermann & Benjamin Mandel, 2011. "Offshoring Bias in U.S. Manufacturing," Journal of Economic Perspectives, American Economic Association, vol. 25(2), pages 111-132, Spring.
    14. Justin R. Pierce & Peter K. Schott, 2016. "The Surprisingly Swift Decline of US Manufacturing Employment," American Economic Review, American Economic Association, vol. 106(7), pages 1632-1662, July.
    15. J. Bradford Jensen & Lori G. Kletzer, 2005. "Tradable Services: Understanding the Scope and Impact of Services Outsourcing," Working Paper Series WP05-9, Peterson Institute for International Economics.
    16. Alan S. Blinder & Alan B. Krueger, 2013. "Alternative Measures of Offshorability: A Survey Approach," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 97-128.
    17. 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.
    18. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2016. "Import Competition and the Great US Employment Sag of the 2000s," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 141-198.
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