Retraining the Unemployed in a Matching Model with Turbulence

I investigate to what degree differences in retraining opportunities are responsible for the divergence of unemployment rates between the U.S. and Europe since the early 1980s. I provide some evidence for higher retraining rates in the U.S. as compared to Europe and further show that there is tremendous heterogeneity across OECD countries with respect to retraining. In my model, unemployed workers not only search for jobs but also for suitable retraining programs. I find that when it becomes more difficult to find suitable retraining programs, enrollment rates, productivity and the unemployment rate decline. Furthermore, this paper is the first attempt to investigate the role of retraining in economies that are subject to economic turbulences as described by Ljungqvist and Sargent (1998, 2004). Using a similar parametrization as Ljungqvist and Sargent (2004), I find that the generosity of unemployment benefits, the main driving force in their model, is not an important determinant of unemployment, even during tumultuous economic times, if sufficiently good retraining institutions are available. Economies with more flexible retraining institutions adjust better to economic turbulence, and as a result, feature lower unemployment rates and higher productivity and output. My results suggest that differences in retraining opportunities play an important role in explaining cross-country differences in unemployment rates.Retraining the Unemployed, European Unemployment, Economic Turbulence

Evaluating Job Training in Two Chinese Cities

Recent years have seen a surge in the evidence on the impacts of active labor market programs for numerous countries. However, little evidence has been presented on the effectiveness of such programs in China. Recent economic reforms, associated massive lay-offs, and accompanying public retraining programs make China fertile ground for rigorous impact evaluations. This study evaluates retraining programs for laid-off workers in the cities of Shenyang and Wuhan using a comparison group design. To our knowledge, this is the first evaluation of its kind in China. The evidence suggests that retraining helped workers find jobs in Wuhan, but had little effect in Shenyang. However, in terms of earnings impacts, retraining appears to have increased earnings in Shenyang but not in Wuhan. The study raises questions about the overall effectiveness of retraining expenditures, and it offers some directions for policymakers about future interventions to help laid-off workers.Active labor market programs, job training, impact evaluation, propensity score matching, China

Should we teach old dogs new tricks? the impact of community college retraining on older displaced workers

This paper estimates the returns to retraining for older displaced workers--those 35 or older--by estimating the impact that community college schooling has on their subsequent earnings. Our analysis relies on longitudinal administrative data covering workers who were displaced from jobs in Washington State during the first half of the 1990s and who subsequently remained attached to the state’s work force. Our database contains displaced workers' quarterly earnings records covering 14 years matched to the records of 25 of the state's community colleges. We find that older displaced workers participate in community college schooling at significantly lower rates than younger displaced workers. However, among those who participate in retraining, the per-period impact for older and younger displaced workers is similar. ; We estimate that one academic year of such schooling increases the long- term earnings by about 8 percent for older males and by about 10 percent for older females. These per-period impacts are in line with those reported in the schooling literature. These percentages do not necessarily imply that retraining older workers is a sound social investment. We find that the social internal rates of return from investments in older displaced workers' retraining are less than for younger displaced workers and likely less than those reported for schooling of children. However, our internal rate of return estimates are very sensitive to how we measure the opportunity cost of retraining. If we assume that these opportunity costs are zero, the internal rate of return from retraining older displaced workers is about 11 percent. By contrast, if we rely on our estimates of the opportunity cost of retraining, the internal rate of return may be less than 2 percent for older men and as low as 4 percent for older women.Displaced workers ; Education

Worker Training in a Restructuring Economy: Evidence from the Russian Transition

We use 1994-1998 data from the Russian Longitudinal Monitoring Survey (RLMS) to measure the incidence and determinants of several types of worker training and to estimate the effects of training on workers' interindustry, interfirm, and occupational mobility, their labor force transitions, and their wage growth in Russia compared to the U.S. We hypothesize that the shock of economic liberalization in Russia may raise the benefits of training, particularly retraining for new jobs, but uncertainty concerning the revaluation of skills may raise the costs, with an overall ambiguous effect on the amount of training undertaken. The RLMS indicates a lower rate of formal training than studies have found for the U.S., suggesting that the second effect dominates. Previous schooling is estimated to affect the probability of training positively, but the relationship is much stronger for additional training in the same field than for retraining for new fields, consistent with the hypothesis that schooling and training are complementary but become more substitutable in a restructuring environment. Foreign ownership of the firm also positively affects the probability of undertaking training, providing evidence of active restructuring by foreigner investors. Additional training in workers' current fields is estimated to reduce mobility and earnings, suggesting inertial programs from the pre-transition era. Retraining in new fields increases all types of worker mobility and has higher returns than those typically observed for training in the U.S., but it also raises the variance of earnings and the probability of employment, consistent with a search view of such retraining. Given the large returns to retraining, the efforts of Russian workers to learn new skills may increase as uncertainty is resolved and restructuring proceeds.http://deepblue.lib.umich.edu/bitstream/2027.42/39715/3/wp331.pd

Catastrophic forgetting: still a problem for DNNs

We investigate the performance of DNNs when trained on class-incremental visual problems consisting of initial training, followed by retraining with added visual classes. Catastrophic forgetting (CF) behavior is measured using a new evaluation procedure that aims at an application-oriented view of incremental learning. In particular, it imposes that model selection must be performed on the initial dataset alone, as well as demanding that retraining control be performed only using the retraining dataset, as initial dataset is usually too large to be kept. Experiments are conducted on class-incremental problems derived from MNIST, using a variety of different DNN models, some of them recently proposed to avoid catastrophic forgetting. When comparing our new evaluation procedure to previous approaches for assessing CF, we find their findings are completely negated, and that none of the tested methods can avoid CF in all experiments. This stresses the importance of a realistic empirical measurement procedure for catastrophic forgetting, and the need for further research in incremental learning for DNNs.Comment: 10 pages, 11 figures, Artificial Neural Networks and Machine Learning - ICANN 201

Worker Training in a Restructuring Economy: Evidence from the Russian Transition

We use 1994-1998 data from the Russian Longitudinal Monitoring Survey (RLMS) to measure the incidence and determinants of several types of worker training and to estimate the effects of training on workers' interindustry, interfirm, and occupational mobility, their labor force transitions, and their wage growth in Russia compared to the U.S. We hypothesize that the shock of economic liberalization in Russia may raise the benefits of training, particularly retraining for new jobs, but uncertainty concerning the revaluation of skills may raise the costs, with an overall ambiguous effect on the amount of training undertaken. The RLMS indicates a lower rate of formal training than studies have found for the U.S., suggesting that the second effect dominates. Previous schooling is estimated to affect the probability of training positively, but the relationship is much stronger for additional training in the same field than for retraining for new fields, consistent with the hypothesis that schooling and training are complementary but become more substitutable in a restructuring environment. Foreign ownership of the firm also positively affects the probability of undertaking training, providing evidence of active restructuring by foreigner investors. Additional training in workers' current fields is estimated to reduce mobility and earnings, suggesting inertial programs from the pre-transition era. Retraining in new fields increases all types of worker mobility and has higher returns than those typically observed for training in the U.S., but it also raises the variance of earnings and the probability of employment, consistent with a search view of such retraining. Given the large returns to retraining, the efforts of Russian workers to learn new skills may increase as uncertainty is resolved and restructuring proceeds.training, retraining, on-the-job training, mobility, labor market, transition

Worker Adjustment and Retraining Notification (WARN) Act: Employer’s Guide to Advance Notice of Closings and Layoffs

The document provides a general overview of the Worker Adjustment and Retraining Notification (WARN) Act and acts as a guide for employers