Home > jobs, unemployment > Long-term hardship

Long-term hardship

from John Schmitt

In a new CEPR report (pdf), Janelle Jones and I argue for rethinking our understanding of “long-term unemployment.”

From the executive summary:

First, we encourage shifting from a narrow focus on long-term unemployment toward a broader concept of “long-term hardship” in the labor market. Many workers or potential workers who do not fit the official definition of long-term unemployment – including “discouraged” and “marginally attached” workers and those involuntarily working part-time jobs – face long-term hardship in the labor market, but are not captured in the standard measure of long-term unemployment.

Second, we suggest complementing the standard measure of long-term unemployment, which reports the share of the unemployed who have been out of work for 6 months or more, with an alternative measure, which reports the share of the total labor force that has been unemployed for 6 months or more. This alternative measure avoids some counter-intuitive properties of the standard statistic and is better for making comparisons across demographic groups.

The broader measure of long-term hardship that we propose, which adds “discouraged workers,” the “marginally attached,” and half of the workers who are “part-time for economic reasons” to the standard measure of long-term unemployment, is more than twice as large (7.0 percent of the working-age population) as the official US long-term unemployment count (3.1 percent).

Long-term unemployment versus long-term hardship

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Categories: jobs, unemployment
  1. January 10, 2012 at 5:58 pm | #1

    I expect that “workers” will progressively slip into the black economy where records are not kept and hardships prevails. All the while, statistical record keeping agencies will continue to publish their increasingly meaningless numbers.

  2. January 31, 2012 at 3:06 am | #2

    Great piece. I agree with your analysis and call for an alternative measure. I also take issue with the BLS’s bs measure of U3 and U6 as well. Those of us who can mine and parse out the ‘hidden’ data, know that U3 is over 11% and U6 is above 22%.

    I won’t go into how unreliable and skewed government data is, but suffice to say, I am a big detractor of all government published data.

    Btw- could you guys add a LinkedIn ‘share’ button on each article/post and add a “Like” as well. Keep up the great work at RW.

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