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Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.
Discusses the unemployment insurance system in which programmes are operated by each state within the minimum standards established by the federal government.
The Unemployment Insurance (UI) system is a lasting piece of the Social Security Act which was enacted in 1935. But like most things that are over 80 years old, it occasionally needs maintenance to keep it operating smoothly while keeping up with the changing demands placed upon it. However, the UI system has been ignored by policymakers for decades and, say the authors, it is broken, out of date, and badly in need of repair. Stephen A. Wandner pulls together a group of UI researchers, each with decades of experience, who describe the weaknesses in the current system and propose policy reforms that they say would modernize the system and prepare us for the next recession.