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Fünf Jahre Mindestlohn
(2020)
Die Einführung des gesetzlichen Mindestlohns zum 1. Januar 2015 war nach der Agenda 2010 die bedeutendste Arbeitsmarktreform der letzten 20 Jahre. Durch das relativ hohe Eingriffsniveau – etwa 4 Millionen oder 11% aller Erwerbstätigen verdienten vor der Einführung weniger als die neue Bruttolohnuntergrenze von 8,50 Euro pro Stunde – und die nahezu umfassende Gültigkeit, waren Hoffnungen und Befürchtungen gleichermaßen groß und viele Fragen zu den Wirkungen offen. Heute, fünf Jahre nach der Einführung und basierend auf zahlreichen, breit angelegten Evaluationsstudien, ist es Zeit für eine Zwischenbilanz. Die Löhne im unteren Bereich sind gestiegen, ohne dass es zu einem größeren Abbau an Beschäftigung gekommen ist. Gleichzeitig hat der Mindestlohn aber nicht die Zahl der Transferbezieher verringert. Auch das Armutsrisiko hat nicht abgenommen. Der Mindestlohn ist in vielerlei Hinsicht nicht existenzsichernd und wird auch nicht vollumfänglich durchgesetzt. Insofern wurde fünf Jahre nach der Einführung zwar einiges erreicht, wichtige Ziele aber auch verfehlt. Die Politik ist gefordert.
We analyze workers’ risk preferences and training investments. Our conceptual framework differentiates between the investment risk and insurance mechanisms underpinning training decisions. Investment risk leads risk-averse workers to train less; they undertake more training if it insures them against future losses. We use the German Socio-Economic Panel (SOEP) to demonstrate that risk affinity is associated with more training, implying that, on average, investment risks dominate the insurance benefits of training. Crucially, this relationship is evident only for general training; there is no relationship between risk attitudes and specific training. Thus, consistent with our conceptual framework, risk preferences matter more when skills are transferable – and workers have a vested interest in training outcomes – than when they are not. Finally, we provide evidence that the insurance benefits of training are concentrated among workers with uncertain employment relationships or limited access to public insurance schemes.
This study analyses the impact of managers’ risk preferences on their training allocation decisions. We begin by providing nationally representative evidence that managers’ risk-aversion is negatively correlated with the likelihood that their firms engage in any worker training. Using a novel vignette study, we then demonstrate that risk-tolerant and risk-averse decision makers have significantly different training preferences. Risk aversion results in increased sensitivity to turnover risk. Managers who are risk-averse offer less general training and are more reluctant to train workers with a history of job mobility. Adopting a weighting approach to flexibly control for observed differences in the characteristics of risk-averse and risk-tolerant managers, we show that our findings cannot be explained by heterogeneity in either managers’ observed characteristics or the type of firms where they work. All managers, irrespective of their risk preferences, are sensitive to the investment risk associated with training, avoiding training that is more costly or that targets those with less occupational expertise or nearing retirement. This provides suggestive evidence that the risks of training are primarily due to the risk that trained workers will leave the firm (turnover risk) rather than the risk that the benefits of training do not outweigh the costs (investment risk).
Benefit duration, unemployment duration and job match quality aregression-discontinuity approach
(2013)
We use a sharp discontinuity in the maximum duration of benefit entitlement to identify the effect of extended benefit duration on unemployment duration and post-unemployment outcomes (employment stability and re-employment wages). We address dynamic selection, which may arise even under an initially random assignment to treatment, estimating a bivariate discrete-time hazard model jointly with a wage equation and correlated unobservables. Owing to the non-stationarity of job search behavior, we find heterogeneous effects of extended benefit duration on the re-employment hazard and on job match quality. Our results suggest that the unemployed who find a job close to and after benefit exhaustion experience less stable employment patterns and receive lower re-employment wages compared to their counterparts who receive extended benefits and exit unemployment in the same period. These results are found to be significant for men but not for women.
We analyze workers’ risk preferences and training investments. Our conceptual framework differentiates between the investment risk and insurance mechanisms underpinning training decisions. Investment risk leads risk-averse workers to train less; they undertake more training if it insures them against future losses. We use the German Socio-Economic Panel (SOEP) to demonstrate that risk affinity is associated with more training, implying that, on average, investment risks dominate the insurance benefits of training. Crucially, this relationship is evident only for general training; there is no relationship between risk attitudes and specific training. Thus, as expected, risk preferences matter more when skills are transferable – and workers have a vested interest in training outcomes – than when they are not. Finally, we provide evidence that the insurance benefits of training are concentrated among workers with uncertain employment relationships or limited access to public insurance schemes.
In some countries including Germany unemployed workers can increase their income by working a few hours per week. The intention is to keep unemployed job seekers attached to the labour market and to increase their job-finding probabilities. To analyze the unemployment dynamics of job seekers with and without marginal employment, we consider an inflow sample into unemployment and estimate multivariate duration models. While we do not find any significant impact on the job finding probability in a model with homogeneous effects, models allowing for time-varying coefficients indicate a decreased job finding probability of marginal employment at the beginning of the unemployment spell and an increased job finding probability for the long-term unemployed. Our results suggest that job seekers with marginal employment find more stable post-unemployment jobs, and we find some evidence that the relationship between marginal employment and wages and employment stability varies with respect to skill levels, sector and labor market tightness. (C) 2016 Elsevier B.V. All rights reserved.
Standard job search theory assumes that unemployed individuals have perfect information about the effect of their search effort on the job offer arrival rate. We present an alternative model that assumes that each individual has a subjective belief about the impact of her search effort on the job arrival. These beliefs depend in part on an individual's locus of control. We estimate the impact of locus of control on job search behavior using a data set of newly unemployed individuals in Germany. Consistent with our theoretical predictions, we find evidence that individuals with an internal locus of control search more and that individuals who believe that their future outcomes are determined by external factors have lower reservation wages.
We model migration across domestic labor markets (internal migration) as the outcome of a job search process in which job seekers form subjective beliefs about the return search effort that are related to their locus of control. Job seekers with an internal locus of control are predicted to search across larger geographic areas and migrate more frequently as a result. We empirically test the relationship between locus of control and the propensity to migrate using data from the German Socio-Economic Panel (SOEP). We find that not only do individuals with an internal locus of control express more willingness to migrate, they do in fact also migrate more often.
This paper focuses on estimating the magnitude of any potential weight discrimination by examining whether obese job applicants in Germany get treated or behave differently from non-obese applicants. Based on two waves of rich survey data from the IZA Evaluation dataset, which includes measures that control for education, demographic characteristics, labor market history, psychological factors and health, we estimate differences in job search behavior and labor market outcomes between obese/overweight and normal weight individuals. Unlike other observational studies which are generally based on obese and non-obese individuals who might already be at different points in the job ladder (e.g., household surveys), in our data, individuals are newly unemployed and all start from the same point. The only subgroup we find in our data experiencing any possible form of negative labor market outcomes is obese women. Despite making more job applications and engaging more in job training programs, we find some indications that they experienced worse (or at best similar) employment outcomes than normal weight women. Obese women who found a job also had significantly lower wages than normal weight women.
Offering unemployed individuals a subsidy to become self-employed is a widespread active labor market policy strategy. Previous studies have illustrated its high effectiveness to help participants escaping unemployment and improving their labor market prospects compared to other unemployed individuals. However, the examination of start-up subsidies from a business perspective has only received little attention to date. Using a new dataset based on a survey allows us to compare subsidized start-ups out of unemployment with regular business founders, with respect to not only personal characteristics but also business outcomes. The results indicate that previously unemployed entrepreneurs face disadvantages in variables correlated with entrepreneurial ability and access to capital. Nineteen months after start-up, the subsidized businesses experience higher survival, but lag behind regular business founders in terms of income, business growth and innovation. Moreover, we show that expected deadweight effects related to start-up subsidies occur on a (much) lower scale than usually assumed.
Low female labor market participation is a problem many developed countries have to face. Beside activating inactive women, one possible solution is to support the re-integration of unemployed women. Due to female-specific labor market constraints (preferences for flexible working hours, discrimination), this is a difficult task, and the question arises whether active labor market policies (ALMP) are an appropriate tool to help. It has been shown that the effectiveness of traditional (ALMP) programs-which focus on the integration in dependent (potentially inflexible) employment-is positive but limited. At the same time, recent evidence for Austria shows that these programs reduce fertility which might be judged unfavorable from a societal perspective. Promoting self-employment among unemployed women might therefore be a promising alternative. Starting their own business might give women more independence and flexibility to reconcile work and family and increase labor market participation. Based on long-term informative data, we find that start-up programs persistently integrate former unemployed women into the labor market, and the impact on fertility is less detrimental than for traditional ALMP programs.
Sin embargo, todavia no se han analizado los efectos potencialmente heterogeneos de los programas para proyectos empresariales en los diferentes mercados laborales de ambito regional. Las restricciones en la demanda de empleo en areas mas desfavorecidas generalmente hacen aumentar el numero de personas que aprovechan estos programas porque las ofertas laborales son limitadas. Sin embargo, la supervivencia de empresas en estas areas es tambien mas baja, de modo que sigue sin estar claro el efecto general. Basandonos en datos alemanes, observamos que el proceso de creacion, el desarrollo de negocios y la eficacia de los programas estan influenciados por las condiciones economicas imperantes en el momento de la creacion de la empresa.
Dealing with spam is very costly, and many organizations have tried to reduce spam-related costs by installing spam filters. Relying on modern econometric methods to reduce the selection bias of installing a spam filter, we use a unique data setting implemented at a German university to measure the costs associated with spam and the costs savings of spam filters. Our methodological framework accounts for effect heterogeneity and can be easily used to estimate the effect of other IS technologies implemented in organizations.
The majority of costs stem from the time that employees spend identifying and deleting spam, amounting to an average of approximately five minutes per employee per day. Our analysis, which accounts for selection bias, finds that the installation of a spam filter reduces these costs by roughly one third. Failing to account for the selection bias would lead to a result that suggests that installing a spam filter does not reduce working time losses.
However, cost savings only occur when the spam burden is high, indicating that spam filters do not necessarily reduce costs and are therefore no universal remedy. The analysis further shows that spam filters alone are a countermeasure against spam that exhibits only limited effectiveness because they only reduce costs by one third.
We propose a combined approach of propensity score matching with difference-in-differences methods for reducing selection biases of products being reviewed by critics. Critics' decision to review products may be driven by observable (e.g., star power) and unobservable (e.g., critics' individual preferences) factors, raising the question of reverse causality and selection biases. Our proposed approach enables to rigorously control for selection biases by observable and unobservable characteristics. We apply our methodological framework on data from the German book market and estimate the sales effect of a well-known TV critic. We identify substantial selection effects of individual critics, which result in serious underestimation of the short-term effect (up to 29 %) and the long-term effect (up to 37 %). The results emphasize the relevance of the proposed methodological framework by demonstrating that observable and unobservable factors drive selection effects.
Many countries support business start-ups to spur economic growth and reduce unemployment with different programmes. Evaluation studies of such programmes commonly rely on the conditional independence assumption (CIA), allowing a causal interpretation of the results only if all relevant variables affecting participation and success are accounted for. While the entrepreneurship literature has emphasised the important role of personality traits as predictors for start-up decisions and business success, these variables were neglected in evaluation studies so far due to data limitations. In this paper, we evaluate a new start-up subsidy for unemployed individuals in Germany using propensity score matching under the CIA. Having access to rich administrative-survey data allows us to incorporate usually unobserved personality measures in the evaluation and investigate their impact on the estimated effects. We find strong positive effects on labour market reintegration and earned income for the new programme. Most importantly, results including and excluding individuals׳ personalities do not differ significantly, implying that concerns about potential overestimation of programme effects in the absence of personality measures might be less justified if the set of other control variables is rich enough.
We extend standard models of work-related training by explicitly incorporating workers’ locus of control into the investment decision through the returns they expect. Our model predicts that higher internal control results in increased take-up of general, but not specific, training. This prediction is empirically validated using data from the German Socioeconomic Panel (SOEP). We provide empirical evidence that locus of control influences participation in training through its effect on workers’ expectations about future wage increases rather than actual wage increases. Our results provide an important explanation for underinvestment in training and suggest that those with an external sense of control may require additional training support.
This study quantifies the distributional effects of the minimum wage introduced in Germany in 2015. Using detailed Socio-Economic Panel survey data, we assess changes in the hourly wages, working hours, and monthly wages of employees who were entitled to be paid the minimum wage. We employ a difference-in-differences analysis, exploiting regional variation in the “bite” of the minimum wage. At the bottom of the hourly wage distribution, we document wage growth of 9% in the short term and 21% in the medium term. At the same time, we find a reduction in working hours, such that the increase in hourly wages does not lead to a subortionate increase in monthly wages. We conclude that working hours adjustments play an important role in the distributional effects of minimum wages.
Divergent thinking is the ability to produce numerous and diverse responses to questions or tasks, and it is used as a predictor of creative achievement. It plays a significant role in the business organization’s innovation process and the recognition of new business opportunities. Drawing upon the cumulative process model of creativity in entrepreneurship, we hypothesize that divergent thinking has a lasting effect on post-launch entrepreneurial outcomes related to innovation and growth, but that this relation might not always be linear. Additionally, we hypothesize that domain-specific experience has a moderating role in this relation. We test our hypotheses based on a representative longitudinal sample of 457 German business founders, which we observe up until 40 months after start-up. We find strong relative effects for innovation and growth outcomes. For survival, we find conclusive evidence for non-linearities in the effects of divergent thinking. Additionally, we show that such effects are moderated by the type of domain-specific experience that entrepreneurs gathered pre-launch, as it shapes the individual’s ideational abilities to fit into more sophisticated strategies regarding entrepreneurial creative achievement. Our findings have relevant policy implications in characterizing and identifying business start-ups with growth and innovation potential, allowing a more efficient allocation of public and private funds.