Template-Type: ReDIF-Paper 1.0
Title: Data-Driven Opportunities to Scale Reemployment Opportunities and Social Insurance for Unemployed Workers During the Recovery
Author-Name: Till von Watcher
Abstract: Job loss during recessions can have long-lasting, negative consequences
  for workers and their families. In particular, long-term
  unemployment—and the associated exhaustion of unemployment insurance
  (UI) benefits—is associated with sustained income loss and increases
  in poverty. Workers who are less-educated, racial and ethnic minorities,
  younger, and female are especially at risk of economic hardship and
  adverse long-term consequences from job loss and long-term
  unemployment.
  
  In the AESG report “Data-Driven Opportunities to Scale Reemployment
  Opportunities and Social Insurance for Unemployed Workers During the
  Recovery,” economist Till von Wachter (UCLA) describes four immediate
  policy actions that could be taken to better insure and reintegrate
  workers at risk of long-term unemployment during recessions. Most, if
  not all recommendations, could be implemented by specific actors at the
  federal and state level without establishing new programs or creating
  new funding streams.
Creation-Date: 2021-12-01
Keywords: labor economics, workforce policy, unemployment
File-URL: https://www.economicstrategygroup.org/wp-content/uploads/2026/06/Data-Driven-Opportunities-to-Scale-Reemployment.pdf
File-Format: Application/PDF
Handle: RePEc:cxx:wpaper:data-driven-opportunities-to-scale-reemployment