Pedro Mazeda Gil

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Total Citations

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About

Pedro Mazeda Gil is a leading researcher in macroeconomics and labor economics, with a focus on the intersection of automation, labor markets, and institutional dynamics. His work explores how technological change—particularly automation and artificial intelligence—shapes employment, wage inequality, and the labor share of income. Gil’s most-cited paper, "Explaining the Labor Share: Automation Vs Labor Market Institutions" (2022, 45 citations), develops a model where heterogeneous firms choose between manual and automated production, revealing how automation and labor market frictions jointly drive the decline in the US labor share. In related work, "Looking ahead at the effects of automation in an economy with matching frictions" (2022, 12 citations), he examines how advances in AI and robotics affect employment through endogenous job destruction and workers’ comparative advantage in advanced tasks. Gil’s contributions are notable for integrating search-and-matching frictions with firm-level automation decisions, offering nuanced policy insights into the future of work. His research has been widely cited by scholars studying technological unemployment and institutional responses, making him a key voice in debates on automation’s economic impact.