Mostrar el registro sencillo del ítem
dc.contributor.author
César, Andrés Manuel
dc.contributor.author
Falcone, Guillermo Enrique
dc.contributor.author
Garriga, Pablo
dc.date.available
2024-03-14T14:29:40Z
dc.date.issued
2022-12
dc.identifier.citation
César, Andrés Manuel; Falcone, Guillermo Enrique; Garriga, Pablo; Robots, Exports and Top Income Inequality: Evidence for the U.S.; Centro de Estudios Distributivos, Laborales y Sociales; Documentos de trabajo (CEDLAS); 307; 12-2022; 1-54
dc.identifier.issn
1853-0168
dc.identifier.uri
http://hdl.handle.net/11336/230572
dc.description.abstract
The last decades have witnessed a revolution in manufacturing production characterized by increasing technology adoption and a strong expansion of international trade. Simultaneously, the income distribution has exhibited both polarization and concentration among the richest. Combining datasets from the U.S. Census Bureau, the U.S. Internal Revenue Service, the International Federation of Robotics, EU KLEMS, and COMTRADE, we study the causal effect of industrial automation on income inequality in the U.S. during 2010–2015. We exploit spatial and time variations in exposure to robots arising from past differences in industry specialization across U.S. metropolitan areas and the evolution of robot adoption across industries. We document a robust positive impact of robotics on income for only the top 1 percent of taxpayers, which is largest for top income fractiles. Therefore, industrial automation fuels income inequality and, particularly, top income inequality. According to our estimates, one more robot per thousand workers results in relative increments of the total taxable income accruing to fractiles P99 to P99.9, P99.9 to P99.99 and P99.99 to P100, of 2.1 percent, 3.5 percent and 5.9 percent, respectively. We also find that robotization leads to increased exports to high-income and upper-middle-income economies, and that this is one of the key mechanisms behind the surge in top income inequality.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Centro de Estudios Distributivos, Laborales y Sociales
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Robots
dc.subject
Automation
dc.subject
Metropolitan areas
dc.subject
United States
dc.subject
Exports
dc.subject
Income inequality
dc.subject
Top incomes
dc.subject.classification
Economía, Econometría
dc.subject.classification
Economía y Negocios
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Robots, Exports and Top Income Inequality: Evidence for the U.S.
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-03-14T09:54:24Z
dc.journal.number
307
dc.journal.pagination
1-54
dc.journal.pais
Argentina
dc.journal.ciudad
La Plata
dc.description.fil
Fil: César, Andrés Manuel. Universidad Nacional de La Plata. Facultad de Ciencias Económicas. Departamento de Ciencias Económicas. Centro de Estudios Distributivos Laborales y Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
dc.description.fil
Fil: Falcone, Guillermo Enrique. Universidad Nacional de La Plata. Facultad de Ciencias Económicas. Departamento de Ciencias Económicas. Centro de Estudios Distributivos Laborales y Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
dc.description.fil
Fil: Garriga, Pablo. Banco Mundial; Estados Unidos
dc.journal.title
Documentos de trabajo (CEDLAS)
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.cedlas.econo.unlp.edu.ar/wp/wp-content/uploads/doc_cedlas307.pdf?dl=0
Archivos asociados