Are You Using Machine Learning to Analyze Immigration Speeches?

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Book looked at every single speech in the congressional record, correct and used machine learning to take to look at the ones that were about immigration. overwhelmingly, the way that congress people and senators spoke about emigration between 18 80 and world war too, was negative. And these days, there's a number of positive statements about emigration on a, the floor of the house.

Immigration to the United States, say Ran Abramitzky and Leah Boustan, is more novel than short story: It takes decades for new immigrants to catch up economically. But their kids on average thrive economically and have higher rates of upward mobility than American-born kids. Abramitzky and Boustan talk about their book Streets of Gold with EconTalk host Russ Roberts. Using an extraordinary data set of millions of Americans, Boustan and Abramitzky find that today's immigrants and their children are surprisingly similar to yesterday's.