JBNST - Vol. 240/2-3 - 2020

In this article we examine the correlation between characteristics of individuals, companies, and industries involved in low-wage labour in Germany and the risks workers face of earning hourly wages that are below the minimum-wage or low-wage thresholds. To identify these characteristics, we use the Structure of Earnings Survey (SES) 2014. The SES is a mandatory survey of companies which provides information on wages and working hours from about 1 million jobs and nearly 70,000 companies from all industries. This data allows us to present the first systematic analysis of the interaction of individual-, company-, and industry-level factors on minimum- and low-wage working in Germany. Using a descriptive analysis, we first give an overview of typical low-paying jobs, companies, and industries. Second, we use random intercept-only models to estimate the explanatory power of the individual, company, and industry levels. One main finding is that the influence of individual characteristics on wage levels is often overstated: Less than 25?% of the differences in the employment situation regarding being employed in minimum-wage or low-wage jobs can be attributed to the individual level. Third, we performed logistic and linear regression estimations to assess the risks of having a minimum- or low-wage job and the distance between a worker’s actual earnings and the minimum- or low-wage thresholds. Our findings allow us to conclude that several determinants related to individuals appear to suggest a high low-wage incidence, but in fact lose their explanatory power once controls are added for factors relating to the companies or industries that employ these individuals.

This paper evaluates the short-run impact of the introduction of a statutory minimum wage in Germany on the hourly wages and monthly earnings of workers targeted by the reform. We first provide detailed descriptive evidence of changes to the wage structure in particular at the bottom of the distribution and distinguish between trends for regularly employed and marginally employed workers. In the causal analysis, we then employ a differential trend adjusted difference-in-differences (DTADD) strategy to identify the extent to which these changes in wages and earnings can be attributed to the minimum wage introduction. We find that the minimum wage introduction can account for hourly wage growth in the order of roughly 6.5?% or €0.45/hour and an increase in monthly earnings of 6.6?% or €53/month. Despite finding wage growth at the bottom of the distribution, the paper documents widespread non-compliance with the mandated wage floor of €8.50/hour.

The present paper analyzes how the statutory minimum wage introduced on January 1, 2015, has affected working hours in Germany up to 2016. The data used come from the Socio-Economic Panel (SOEP), which provides not only contractual working hours but also actual hours worked. Using a difference-in-differences estimation approach, we find a significant and robust reduction in contractual working hours among employees who are subject to social security contributions and earned less than the minimum wage before the introduction. The effect in 2015 is about ?5?% and corresponds to a 1.7?hours reduction in average weekly working hours. The effect on actual hours is smaller and estimated less precisely. Extending the analysis until 2016 does not yield significant effects on contractual or actual working hours, while some specifications reject the common trend assumption.

This paper evaluates the short to medium run employment effects of the 2015 introduction of a statutory minimum wage in Germany. The effect of the policy is recovered from variation in the bite of the minimum wage across occupations using a difference-in-differences estimator. The analysis reveals that the reform only had a small impact on employment and highlights the importance of regional effect heterogeneity. In East Germany, marginal employment decreased by about 18,000 jobs in the short run and 52,000 jobs in the medium run, respectively, due to the minimum wage. In West Germany, no negative employment effects are detectable, but regular employment increased temporarily because of the reform. The medium run estimates include the impact of the first marginal increase of the wage floor from €8.50 to €8.84 in 2017.

In this article, we analyze the effects of the introduction of the German minimum wage using difference-in-differences estimations applied to the IAB Establishment Panel. The treatment effects on the treated establishments show a significant increase in personnel costs. When we analyze the effects of the minimum wage on the net sales of intermediates, we observe a reduction, which is fully explained by the increase in wage costs induced by the minimum wage. The results do not point to effects on establishment-level productivity or capital investments. Looking at investments in human capital, we do not observe any effects on apprenticeship offers or the placement of apprentices. If anything, the results point at a slight reduction in the provision of further training.

This paper analyzes the introduction of the German minimum wage in 2015 in a structural model geared to quantitatively assess its long-run economic effects. We first employ a simple neoclassic model where wages equal their marginal product, then extend this model to two sector economy, and finally introduce search and matching frictions. Even though all model variants remain highly stylized, they yield quantitative insights on the importance of different mechanisms and channels through which minimum wages affect outcomes in the long run. In this framework, the minimum wage has a strong negative effect on employment. When sectors are differently affected by the minimum wage, sectoral relative price changes play an important quantitative role. Other labor market policies and institutions are important for the transmission of minimum wage policy on labor market market outcomes.