Worker Displacement in Russia and Ukraine

Author(s):  
Hartmut Lehmann ◽  
Alexander Muravyev ◽  
Norberto Pignatti ◽  
Tiziano Razzolini ◽  
Anzelika Zaiceva
Keyword(s):  
2013 ◽  
Vol 27 ◽  
pp. 41-57 ◽  
Author(s):  
Michael Bognanno ◽  
Ryo Kambayashi
Keyword(s):  

2008 ◽  
Vol 32 (1) ◽  
pp. 71-93
Author(s):  
Robert J. Hironimus-Wendt

2018 ◽  
Vol 15 (139) ◽  
pp. 20170946 ◽  
Author(s):  
Morgan R. Frank ◽  
Lijun Sun ◽  
Manuel Cebrian ◽  
Hyejin Youn ◽  
Iyad Rahwan

The city has proved to be the most successful form of human agglomeration and provides wide employment opportunities for its dwellers. As advances in robotics and artificial intelligence revive concerns about the impact of automation on jobs, a question looms: how will automation affect employment in cities? Here, we provide a comparative picture of the impact of automation across US urban areas. Small cities will undertake greater adjustments, such as worker displacement and job content substitutions. We demonstrate that large cities exhibit increased occupational and skill specialization due to increased abundance of managerial and technical professions. These occupations are not easily automatable, and, thus, reduce the potential impact of automation in large cities. Our results pass several robustness checks including potential errors in the estimation of occupational automation and subsampling of occupations. Our study provides the first empirical law connecting two societal forces: urban agglomeration and automation's impact on employment.


2019 ◽  
Vol 1 (1) ◽  
pp. 43-58 ◽  
Author(s):  
Melissa Dell ◽  
Benjamin Feigenberg ◽  
Kensuke Teshima

Mexican manufacturing job loss induced by competition with China increases cocaine trafficking and violence, particularly in municipalities with transnational criminal organizations. When it becomes more lucrative to traffic drugs because changes in local labor markets lower the opportunity cost of criminal employment, criminal organizations plausibly fight to gain control. The evidence supports a Becker-style model in which the elasticity between legitimate and criminal employment is particularly high where criminal organizations lower illicit job search costs, where the drug trade implies higher pecuniary returns to violent crime, and where unemployment disproportionately affects low-skilled men. (JEL F16, J24, J64, K42, L60, O15, R23)


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