Andrew Yang on economics: what the evidence says · JRE #1245
“we automated away 4 million manufacturing jobs that were based in Michigan, Pennsylvania, Ohio, Wisconsin, Missouri, Iowa, all the swing states he needed to win”
What the evidence says
Yang's claim that automation alone eliminated 4 million manufacturing jobs concentrated in swing states, and that this explains Trump's 2016 win, blends a real but contested economic debate with an unproven electoral causal claim. Economists differ on how to split blame between trade (particularly the "China shock" following China's 2001 WTO entry) and automation/productivity gains: one widely cited study (Hicks, Ball State, 2017) attributes roughly 88% of manufacturing job losses nationally to productivity/automation and about 13.4% to trade between 2000 and 2010, while Purdue economist David Hummels describes the losses as resulting from "trade with China, along with changes in mechanization and automation," combined rather than automation alone. Reviewing a similar claim for Wisconsin, PolitiFact found experts describing the job losses as resulting from a mix of trade, automation/mechanization, and demographic factors, not automation in isolation. The specific figure of "4 million" jobs and the framing that automation-driven losses in Michigan, Pennsylvania, Ohio, Wisconsin, Missouri, and Iowa "explains" Trump's win was a recurring talking point in Yang's 2020 campaign; it is not an economic consensus. Current evidence supports that both trade and automation contributed to manufacturing job losses in these states, with researchers disagreeing on the split, making Yang's automation-only causal narrative and its direct link to the 2016 outcome an oversimplification rather than an established fact.