The new study, co-authored with J. Frank Li of the University of British Columbia, Javier Miranda of Germany’s Halle Institute for Economic Research, Robert Seamans of NYU’s Stern School of Business, and Andrew J. Wang of Stanford, turns from algorithm to assembly line. Using confidential U.S. Census Bureau microdata linked to customs import records, the team tracked industrial robot adoption among roughly 240,000 single-unit U.S. manufacturing firms from 1992 to 2021—identifying robot adopters by the moment they began importing machines from overseas suppliers in Japan, Germany, and Switzerland.
Players can also rearrange and shuffle the board to make spotting connections easier. Additionally, each group is color-coded with yellow being the easiest, followed by green, blue, and purple. Like Wordle, you can share the results with your friends on social media.
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