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Empirical definition of social types in the analysis of inequality of opportunity : a latent classes approach
Li Donni, Paolo; Rodríguez, Juan Gabriel; Rosa Dias, Pedro - In: Social choice and welfare 44 (2015) 3, pp. 673-701
Persistent link: https://www.econbiz.de/10011377114
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Information aggregation in experimental asset markets in the presence of a manipulator
Veiga, Helena; Vorsatz, Marc - In: Experimental economics : a journal of the Economic … 13 (2010) 4, pp. 379-398
Persistent link: https://www.econbiz.de/10009298608
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Reconsidering the nature and effects of habits in urban transportation behavior
Brette, Olivier; Buhler, Thomas; Lazaric, Nathalie; … - In: Journal of institutional economics 10 (2014) 3, pp. 399-426
Persistent link: https://www.econbiz.de/10011334695
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Robots at work? : pitfalls of industry level data
Bekhtiar, Karim; Bittschi, Benjamin; Sellner, Richard - 2021
In a seminal paper Graetz and Michaels (2018) find that robots increase labor productivity and TFP, lower output prices and adversely aect the employment share of low-skilled labor. We show that these effects hold only, when comparing hardly-robotizing with highly-robotizing sectors and...
Persistent link: https://www.econbiz.de/10012504766
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Robots at work? pitfalls of industry level data
Bekhtiar, Karim; Bittschi, Benjamin; Sellner, Richard - 2021
In a seminal paper Graetz and Michaels (2018) find that robots increase labor productivity and TFP, lower output prices and adversely affect the employment share of low-skilled labor. We show that these effects hold only, when comparing hardly-robotizing with highly-robotizing sectors and...
Persistent link: https://www.econbiz.de/10012432819
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Robot adoption, worker-firm sorting and wage inequality : evidence from administrative panel data
Faia, Ester; Ottaviano, Gianmarco I. P.; Spinella, Saverio - 2023
Persistent link: https://www.econbiz.de/10013536514
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Robots at work? : pitfalls of industry level data
Bekhtiar, Karim; Bittschi, Benjamin; Sellner, Richard - 2021
In a seminal paper Graetz and Michaels (2018) find that robots increase labor productivity and TFP, lower output prices and adversely affect the employment share of lowskilled labor. We demonstrate that these effects are heavily influenced by the sample composition and argue that focusing on...
Persistent link: https://www.econbiz.de/10012695996
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Unpacking skill bias: automation and new tasks
Acemoglu, Daron; Restrepo, Pascual - 2020
Persistent link: https://www.econbiz.de/10012174660
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German robots : the impact of industrial robots on workers
Dauth, Wolfgang; Findeisen, Sebastian; Südekum, Jens; … - 2017
We study the impact of rising robot exposure on the careers of individual manufacturing workers, and the equilibrium … do affect the composition of aggregate employment. Every robot destroys two manufacturing jobs. This accounts for almost … risk for incumbent manufacturing workers. Quite in contrast, more robot exposed workers are even more likely to remain …
Persistent link: https://www.econbiz.de/10011725680