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Economist Victoria Gregory and her coauthors look at a variety of worker types and investigate why some have more difficulty finding stable jobs.

They measure each worker's job durations, unemployment durations, fraction of time spent in unemployment, and number of jobs held over the sample period—then use machine learning to classify workers into worker types based on certain characteristics.

Classifying and tracking workers in this way can help resolve several puzzles in economics related to labor market dynamics.

Read about this and other topics in Economic Synopses.