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Inhaltsbereich: Institut für Arbeitsmarkt- und Berufsforschung


    Patterns and impact of longitudinal measurement error for welfare receipt

    30 November 2016

    Measurement error is a common phenomenon in the empirical sciences. Longitudinal data can especially be affected by it, as measurement error can influence measures of change, which is one of the primary reasons for collecting longitudinal data in panel surveys. However, measurement error in longitudinal data is rarely analysed.

    In this series of papers, the measurement error for welfare receipt is analysed for up to five consecutive panel waves by linking panel survey data with administrative data on the individual level. Results from all four studies suggest that measurement error for welfare receipt is highly differential. The measurement error for welfare receipt is not based on a random process, but based on personal characteristics and the welfare histories of the respondents.

    IAB-Bibliothek 362

    Cohort size and youth labour-market outcomes: the role of measurement error

    31 October 2016

    Using data from 49 European regions covering 2005-2012, this paper finds that the estimated effect of cohort size on employment and unemployment outcomes is very sensitive to the age range of the sample. We argue that this is because the identifica-tion strategy commonly used in this literature is unable to eliminate the bias caused by measurement error in the cohort-size variable. The latter arises because large shares of the young choose to acquire education and consequently the size of an age group provides a poor measure of age-specific labour supply. In our view older age groups provide a more suitable sample to test the implications of cohort crowd-ing since the former will have largely entered the labour market. Using a sample aged 25–29, which has relatively low rates of participation in education, we find ro-bust evidence that an increase in cohort size increases employment and reduces unemployment.

    IAB-Discussion Paper 37/2016

    The EU Gender Earnings Gap: Job Segregation and Working Time as Driving Factors

    25 October 2016

    This paper estimates size and impact factors of the gender pay gap in Europe. It adds to the literature in three aspects.  In addition, the fact that part-time positions are more frequent among women notably contributes to the gap. We conclude that policies aiming at closing the gender pay gap should focus more on the sector level than on the aggregate economy.

    IAB-Discussion Paper 36/2016

    Overeducation - New evidence for 25 European countries

    24 October 2016

    This study investigates the incidence of overeducation among workers in the EU and its underlying factors based on the most recent wave of the European Labor Force Survey (EU-LFS 2013). Its main purpose is to shed light on the interplay of so far neglected explanatory factors such as household characteristics and field of study as well as to reveal country differences in the impact of these factors.

    IAB-Discussion Paper 35/2016

    The migration of professionals within the EU: any barriers left?

    20 October 2016

    Despite the effort at EU level to harmonize the process of recognition of foreign educational qualifications, the European states differ in their propensity to accept high-school and academic certificates obtained in other EU member states. In turn, a country’s higher degree of recognition of foreign qualifications might be an attractor of non-native skilled workers. We provide evidence on this issue using new data on the outcome of the recognition process in every EU country. Estimating different panel data gravity models, we find that the migration rate to a given destination country is positively affected by its propensity to recognize foreign educational qualifications.

    IAB-Discussion Paper 34/2016

    Management Practices and Productivity in Germany

    17 October 2016

    Based on a novel dataset, the “German Management and Organizational Practices” (GMOP) Survey, we calculate establishment specific management scores following Bloom and van Reenen as indicators of management quality. We find substantial heterogeneity in management practices across establishments in Germany, with small firms having lower scores than large firms on average. We show a robust positive and economically important association between the management score and establishment level productivity in Germany. This association increases with firm size. Comparison to a similar survey in the US indicates that the average management score is lower in Germany than in the US. Overall, our results point towards lower management quality being at least in part to blame for the differences in aggregate productivity between Germany and the US.

    IAB-Discussion Paper 32/2016

    Side effects of the new German minimum wage on (un-)employment

    13 October 2016

    In Germany, decreasing collective bargaining coverage and rising wage inequality led to the introduction of a new statutory minimum wage of EURO 8.50 per hour of work. We analyze the relationship between the bite of the minimum wage and employment/ unemployment growth using regional data of the Federal Employment Agency for prime age individuals. We use difference-in-differences type of specifications using a panel of region-age-sex cells. The results do not provide evidence in favor of a reduced employment growth for the analysed groups, nor do they provide evidence for an increase in unemployment growth due to the minimum wage. However, we find an increase in growth of regular employment at the expense of marginal employment.

    IAB-Discussion Paper 31/2016

    Cognitive Skills, Non-Cognitive Skills, and Family Background: Evidence from Sibling Correlations

    11 October 2016

    This paper estimates sibling correlations in cognitive and non-cognitive skills to evaluate the importance of family background for skill formation. Based on a large representative German dataset including IQ test scores and measures of non-cognitive skills, a restricted maximum likelihood model indicates a strong relationship between family background and skill formation. Sibling correlations in non-cognitive skills range from 0.22 to 0.46; therefore, at least one-fifth of the variance in these skills results from shared sibling-related factors. Sibling correlations in cognitive skills are higher than 0.50; therefore, more than half of the inequality in cognition can be explained by shared family background. Comparing these findings with those in the intergenerational skill transmission literature suggests that intergenerational correlations capture only part of the influence of family on children’s cognitive and non-cognitive skills, as confirmed by decomposition analyses and in line with previous findings on educational and income mobility.

    IAB-Discussion Paper 30/2016



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