2022
DOI: 10.1111/ecpo.12225
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“Restrict foreigners, not robots”: Partisan responses to automation threat

Abstract: Recent scholarship on technological change highlights its negative impacts on employment and wages. However, a decade of nationally representative surveys show that Americans hold favorable views toward technology despite concerns over labor displacement. How do people cope with employment threats from a trend they consider desirable? Using a survey experiment, this paper argues that people opt to buffer domestic workers from technological threats with substitute policies against outgroups that they believe co… Show more

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Cited by 6 publications
(6 citation statements)
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“…Further details regarding the sampling method, quotas, and treatment group randomization are available in the online Appendix. Although Cint's samples are not representative of each country's general population, they approximate the population distributions on key variables, while maximizing the internal validity of experimental findings, in line with many prior studies of labor market shocks (Di Tella and Rodrik, 2020;Wu, 2023;Zhang, 2022). Furthermore, previous research using online platforms, such as Amazon's Mechanical Turk and Lucid, has demonstrated that convenience and representative samples can yield comparable experimental results (Berinski et al, 2012;Huff and Tingley, 2015;Mullinix et al, 2015;Coppock and McClellan, 2019).…”
Section: Survey Experimentsmentioning
confidence: 52%
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“…Further details regarding the sampling method, quotas, and treatment group randomization are available in the online Appendix. Although Cint's samples are not representative of each country's general population, they approximate the population distributions on key variables, while maximizing the internal validity of experimental findings, in line with many prior studies of labor market shocks (Di Tella and Rodrik, 2020;Wu, 2023;Zhang, 2022). Furthermore, previous research using online platforms, such as Amazon's Mechanical Turk and Lucid, has demonstrated that convenience and representative samples can yield comparable experimental results (Berinski et al, 2012;Huff and Tingley, 2015;Mullinix et al, 2015;Coppock and McClellan, 2019).…”
Section: Survey Experimentsmentioning
confidence: 52%
“…Di Tella and Rodrik (2020) prime respondents with several types of labor market disruptions and find that both trade shocks and automation are positively associated with the demand for protectionism but not other social transfers (the effects of trade are stronger than those of automation). Other studies provide more mixed findings, including null effects of automation primes on public policy preferences, with considerable variation across social subgroups (Jeffrey, 2021;Ladreit, 2022;Wu, 2023;Zhang, 2022). In summary, these findings indicate mixed results regarding the impact of automation exposure on support for ameliorative policy responses.…”
Section: Policy Preferencesmentioning
confidence: 90%
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“…Moreover, there are psychological reasons why voters may prefer to blame trade and/or migration over automation for economic decline. On the one hand, voters are often quite favorably disposed toward technology, which they associate with positive lifestyle and economic benefits (Gallego et al, 2021;Mutz, 2021;Wu, 2022). In contrast, immigration and trade are associated with easily identifiable out-groups-immigrants and foreign countries-that can be blamed for what may actually be technology-induced job loss, and are also associated with more straightforward policy solutions, such as trade tariffs and border restrictions Kurer, 2020;Mutz, 2021).…”
Section: The Political Implications Of Exposure To Workplace Technolo...mentioning
confidence: 99%