Short- and long-term joblessness

a semi-parametric model with time- varying effects

by Pedro Portugal

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Published 1996 by University of Hull. Department of Economics .
Written in English

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Edition Notes

Statement	Pedro Portugal and John T. Addison.
Series	Hull economic research papers -- No.250
Contributions	Addison, John T. 1946-, University of Hull. Department of Economics.
ID Numbers
Open Library	OL16535220M

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  “The long-term unemployed really are different. They are destined to drop out the labor force.” Proposition B really doesn’t follow from A. I would say something like: the long-term-unemployed were, on average, a little different (below average performers are laid off first), they’ve become more different (due to the effects of long-term unemployment), and after a while they’re. Technological unemployment is the loss of jobs caused by technological is a key type of structural unemployment.. Technological change typically includes the introduction of labour-saving "mechanical-muscle" machines or more efficient "mechanical-mind" processes ().Just as horses were gradually made obsolete by the automobile, humans' jobs have also been affected throughout modern.

  For the long-term unemployed, finding a job is hard — but keeping one may be even harder. New research tracking people who have been out of . when it results in long-term unemployment or inactivity – can have long-lasting negative effects on human capital and, thus, permanently reduce the earnings potential of the affected workers, with these scarring effects possibly being the worst for youth (Ellwood,File Size: 2MB.   As employers seek more control over labor costs, the number of part-time jobs has soared in the post-great recession period. But increasingly erratic work schedules -- .

  For Some, Joblessness Is Not a Temporary Problem. By long-term unemployment has risen to record levels, even as overall unemployment has begun to decline. the short-term unemployment rate. 6 Estimating Intervention Effects The basic estimator is a treatment- and comparison-group difference in deviations from their baseline trends. Baseline trends can be simple means or linear and (infrequently) non-linear functions of time. Serial correlation can sometimes be accounted for. Multi-level data can be accommodated. Matching can be used to choose a comparison group. ": Unemployment - at any age - does not have to end in a catastrophe. But if we want to avoid joblessness across generations we need to act quickly and implement both short-term solutions for today's unemployed and long-term solutions to avoid repeating what we are seeing today.