U.S. Robots and Their Impacts in the Tropics: Evidence from Colombian Labor Markets

Kugler, Adriana D.; Kügler, Maurice; Ripani, Laura; Rodrigo, Rodimiro

doi:10.2139/ssrn.3723271

Cited by 8 publications

(14 citation statements)

References 11 publications

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“…However, we consider equally important to study the effect of US automation on low-wage countries. Consistent with our results, some papers tend to find negative effects on labor market outcomes in the developing world (see, for instance, , Stemmler, 2019, Kugler et al 2020). Yet, it would be desirable to combine data across countries to directly identify the terms-of-trade effect of automation.…”

Section: Discussionsupporting

confidence: 91%

“…For instance, Krenz, Prettner and Strulik (2018) and Carbonero, Ernst and Weber (2018) find evidence of robot-induced reshoring in a panel of countries and industries. Similarly, Faber (2020), , Stemmler (2019), and Kugler et al (2020) find evidence of reshoring in Mexico, Brazil and Colombia. On the other hand, Hallward-Driemeier and and De Backer et al (2016) argue that reshoring affects only a tiny minority of countries and industries, while show that robots had a positive impact on imports and multinational activities of Spanish firms.…”

Section: Notesmentioning

confidence: 85%

“…also smaller, less productive, less internationally active firms 32. Given that lowskilled workers are also more likely to work at such firms, this dual threat is a key issue for policymakers to consider.…”

mentioning

confidence: 99%

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Robots and AI

Ing¹,

Grossman²

2022

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Robots and artificial intelligence (AI) are powerful forces that will likely have large impacts on the size, direction, and composition of international trade flows. This book discusses how industrial robots, automation, and AI affect international growth, trade, productivity, employment, wages, and welfare. The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises. This book will be a useful reference for those researching on robots, automation, AI and their economic impacts on trade, industry, and employment.

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Section: Discussionsupporting

confidence: 91%

Section: Notesmentioning

confidence: 85%

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Robots and AI

Ing¹,

Grossman²

2022

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“…In fact, there is evidence that Colombia is already experiencing some of these negative impacts. The data show substantial job destruction and the declining earnings of Colombian workers in sectors that have high levels of automation-measured by robots per worker-in the United States (Kugler et al 2020). As a result, from 2011 to 2016, U.S. robots destroyed between 63,000 and 100,000 jobs in Colombia by reshoring them back to the United States.…”

Section: Unequal Access To New Technologiesmentioning

confidence: 95%

Building an Equitable Society in Colombia

2021

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the team is thankful to the Dirección de Ambiente y Desarrollo Sostenible of the National Planning Department for co-leading this chapter. Desiree Gonzalez provided administrative and logistics support throughout the preparation of this work; Maria Clara Ucros and Jairo Bedoya guided the dissemination and communication strategy; Carlos Reyes and Patricia Carley provided design and editing services, respectively.

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“…We take into account gender differences in schooling, as well as in the returns to human capital, finding that the short run impact is greater on women, but that the long run impact is similar to men, across countries at different levels of development. 10 For structural change, see Schoellman and Hobijn (2017), Porzio and Santangelo (2017), Buera et al (2020), Kugler et al (2020) and Porzio et al (2021). For downturns, see Ljungqvist and Sargent (1998), Kahn (2010) and Davis and Von Wachter (2011).…”

mentioning

confidence: 99%

Scars of Pandemics from Lost Schooling and Experience: Aggregate Implications and Gender Differences through the Lens of COVID-19

Romer

Samaniego

Jedwab

et al. 2022

Preprint

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Pandemic shocks disrupt human capital accumulation through schooling and work experience. This study quantifies the range of the long-term economic impact of these disruptions in the case of the COVID-19 pandemic, focusing on countries at different levels of development and using returns to education and experience by college status that are globally estimated using 1,084 household surveys across 145 countries. We find that: (i) Both lost schooling and experience can contribute to significant losses in global learning and output; and (ii) Developed countries may incur greater losses than developing countries, because they have more schooling to start with and higher returns to experience. In addition, the returns to education and experience are separately estimated for men and women, to explore the differential effects by gender of the COVID-19 pandemic. While we uncover gender differences in returns to education and schooling, gender differences in the impact of COVID-19 are small and short-lived, with a loss in female relative income of only 2.5 percent or less mainly due to the greater severity of the employment shock on impact. The methodology employed in this study is easily implementable for future pandemics where global data availability is initially limited.

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U.S. Robots and Their Impacts in the Tropics: Evidence from Colombian Labor Markets

Cited by 8 publications

References 11 publications

Robots and AI

Robots and AI

Building an Equitable Society in Colombia

Scars of Pandemics from Lost Schooling and Experience: Aggregate Implications and Gender Differences through the Lens of COVID-19

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