Suchergebnisse

Using representative linked employer-employee data of the German Federal Employment Agency, this paper shows that just one out of seven full-time employees who earned low wages (i.e. less than two-thirds of the median wage) in 1998/99 was able to earn wages above the low-wage threshold in 2003. Bivariate probit estimations with endogenous selection indicate that upward wage mobility is higher for younger and better qualified low-wage earners, whereas women are substantially less successful. We show that the characteristics of the employing firm also matter for low-wage earners' probability of escaping low-paid work. In particular small plants and plants with a high share of low-wage earners often seem to be dead ends for low-wage earners. The likelihood of leaving the low-wage sector is also low when staying in unskilled and skilled service occupations and in unskilled commercial and administrational occupations. Consequently, leaving these dead-end plants and occupations appears to be an important instrument for achieving wages above the low-wage threshold. -- low-wage employment ; wage mobility ; Germany

This study analyzes state dependence in low-wage employment of western German women using GSOEP data, 2000-2006. We estimate dynamic multinomial logit models with random effects and find that having a low-wage job increases the probability of being low-paid and decreases the chances of being high-paid in the future, in particular for low-paid women working part-time. However, concerning future wage prospects low-paid women are clearly better off than unemployed or inactive women. We argue that for women low-wage jobs can serve as stepping stones out of unemployment and are to be preferred to staying unemployed and waiting for a better job. -- low-pay dynamics ; state dependence ; dynamic multinomial logit model

AbstractThis study investigates how the effects of low‐wage employment and non‐employment on wage prospects vary depending on qualification. Based on theories on signalling effects, human capital and job search, we discuss why there may be heterogeneity in state dependence in both labour market states. We find that episodes of low‐wage employment incur a significantly lower risk of future non‐employment than episodes of non‐employment for low‐qualified workers. In contrast, for workers with a middle or high level of qualification the risk of non‐employment is not significantly different when being low‐paid instead of not employed.

"This study investigates how the effects of low-wage employment and non-employment on wage prospects vary depending on qualification. Based on theories on signalling effects, human capital and job search, we discuss why there may be heterogeneity in state dependence in both labour market states. We find that episodes of low-wage employment incur a significantly lower risk of future non-employment than episodes of non-employment for low-qualified workers. In contrast, for workers with a middle or high level of qualification the risk of non-employment is not significantly different when being low-paid instead of not employed." (Author's abstract, Published by arrangement with John Wiley & Sons).

"Panel surveys suffer from attrition. Most panel studies use propensity models or weighting class approaches to correct for non-random dropout. These models draw on variables measured in a previous wave or from paradata of the study. While it is plausible that they affect contactability and cooperativeness, panel studies usually cannot assess the impact of events between waves on attrition. The amount of change in the population could be seriously underestimated if such events had an effect on participation in subsequent waves. The panel study PASS is a novel dataset for labour market and poverty research. In PASS, survey data on (un)employment histories, income and education of participants are linked to corresponding data from respondents' administrative records. Thus, change can be observed for attritors as well as for continued participants. These data are used to show that change in household composition, employment status or receipt of benefits has an influence on contact and cooperation rates in the following wave. A large part of the effect is due to lower contactability of households who moved. Nevertheless, this effect can lead to biased estimates for the amount of change. After applying the survey's longitudinal weights this bias is reduced, but not entirely eliminated." (author's abstract)