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Automation and Public Policy Preferences

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  • Colombe Ladreit

Abstract

Automation and globalization triggered sizeable labor market adjustments in the US. While the backlash against globalization has been well-identified in the political economy literature, this is not the case for automation. Using a survey experiment, we study how Americans update their public policy preferences after priming them with an automation story. We show it does not increase their support for government intervention and uncover two explanatory channels behind it: fairness considerations and perceived vulnerability to automation. First, respondents do not see automation as particularly unfair to workers and think that firms are justified in automating. Second, our automation treatment increases respondents'anxiety regarding automation's impact on American jobs in general but not on their own occupations. Hence, while an automation prime increases average anxiety levels, respondents do not feel personally threatened by robots. Finally, we find that respondents are less likely to support nationalist policies once they know the cause of the shock is automation. This suggests that misperceptions about the cause of the shock have partly driven the increase in anti-trade and anti-immigration sentiment following robot adoption. Classification-JEL :

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  • Colombe Ladreit, 2022. "Automation and Public Policy Preferences," BAFFI CAREFIN Working Papers 22191, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    • Handle: RePEc:baf:cbafwp:cbafwp22191
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    1. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    2. Stefanie Stantcheva, 2022. "How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible," NBER Working Papers 30527, National Bureau of Economic Research, Inc.
    3. Rafael Di Tella & Dani Rodrik, 2020. "Labour Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys," The Economic Journal, Royal Economic Society, vol. 130(628), pages 1008-1030.
    4. Rafael Di Tella & Juan Dubra, 2016. "Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation," Documentos de Trabajo/Working Papers 1607, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    5. 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.
    6. Avraham Ebenstein & Ann Harrison & Margaret McMillan, 2015. "Why are American Workers getting Poorer? China, Trade and Offshoring," NBER Working Papers 21027, National Bureau of Economic Research, Inc.
    7. Jeffrey, Karen, 2021. "Automation and the future of work: How rhetoric shapes the response in policy preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 417-433.
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