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Begin New Search Topic Income Inequality Author Andrés César

1. Robots, Exports and Top Income Inequality: Evidence for the U.S.

Author:
Andrés César, Guillermo Falcone, and Pablo Garriga
Publication Date:
12-2022
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
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.
Topic:
Income Inequality, Exports, Automation, and Robotics
Political Geography:
North America and United States of America

2. The Risk of Automation in Latin America

Author:
Irene Brambilla, Andrés César, Guillermo Falcone, Leonardo Gasparini, and Carlo Lombardo
Publication Date:
06-2021
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
Abstract:
In this paper we characterize workers’ vulnerability to automation in the near future in the six largest Latin American economies as a function of the exposure to routinization of the tasks that they perform and the potential automation of their occupation. We combine (i) indicators of potential automatability by occupation and (ii) worker’s information on occupation and other labor variables. We find that the ongoing process of automation is likely to significantly affect the structure of employment. In particular, unskilled and semi-skilled workers are likely to bear a disproportionate share of the adjustment costs. Automation will probably be a more dangerous threat for equality than for overall employment.
Topic:
Employment, Income Inequality, Economy, and Automation
Political Geography:
Latin America