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1. Local Economic Development Through Export-Led Growth: The Chilean Case

Author:
Andrés César and Guillermo Falcone
Publication Date:
04-2024
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
Abstract:
We study the causal impact of export growth on Chilean local economic development during 2000–2006 by exploiting spatial and temporal variations in local exposure stemming from the interaction of past differences in industry specialization across local labor markets and the evolution of tariffs cuts and exports across industries. We find that growing exports implied a significant reduction in labor informality and labor income gains in more exposed local markets, driven by job creation and wage growth in the formal sector. These effects concentrate on senior skilled workers. Exposed locations also exhibit a greater relative decline in the poverty rate.
Topic:
Poverty, Employment, Economic Growth, Tariffs, Exports, Economic Development, Labor Market, Wages, and Informality
Political Geography:
South America and Chile

2. 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