Using representative linked employer-employee data for Germany, this paper analyzes short- and long-run differences in labor market performance of workers joining startups instead of incumbent firms. Applying entropy balancing and following individuals over ten years, we find huge and long-lasting drawbacks from entering a start-up in terms of wages, yearly income, and (un)employment. These disadvantages hold for all groups of workers and types of start-ups analyzed. Although our analysis of different subsequent career paths highlights important heterogeneities, it does not reveal any strategy through which workers joining start-ups can catch up with the income of similar workers entering incumbent firms.

Using a sample of around 30 countries over the period 2001–2015, this study provides evidence that deeply rooted cultural differences are significantly associated with the use of mortgage debt. More detailed, we find that power distance and uncertainty avoidance have a negative impact on the value of the total outstanding residential loans to GDP. This finding is robust across various specifications and the use of alternative measures of mortgage debt. In contrast, trust has a positive and robust impact on all the measures of mortgage debt. Other dimensions of national culture like long-term orientation, individualism, and indulgence, also appear to matter; however, their impact depends on the control variables and the employed measure of mortgage debt.

This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance metric, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly efficiently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.

Does finance facilitate efficient allocation of resources? Our aim in this paper is to find out whether increases in private and public indebtedness affect capital misallocation, which is measured as the dispersion in the return to capital across firms in different industries. For this, we use a novel dataset containing industrylevel data for 18 European countries and control for different macroeconomic indicators as potential determinants of capital misallocation. We exploit the within-country variation across industries in such indicators as external finance dependence, technological intensity, credit constraints and competitive structure, and find that private debt accumulation disproportionately increases capital misallocation in industries with higher financial dependence, higher R&D intensity, a larger share of credit-constrained firms and a lower level of competition. On the other hand, we fail to find any significant and robust effect of public debt on capital misallocation within our country-sector pairs. We believe the distortionary effects of private debt found in our analysis needs a deeper theoretical investigation.

Labour market institutions are policy interventions aiming to improve labour market outcomes in terms of employment and wages. However, because labour markets are complex, it is not straight forward whether these policy interventions achieve their objectives. Instead, they may result in the opposite or induce side effects. In this dissertation, the impact of minimum wages and employment protection legislation on employment are studied. The first chapter discusses labour market institutions, focusing on the above mentioned polices. The second chapter analyses the effects of the German minimum-wage introduction on employment. The findings suggest that marginal employment decreased while regular employment increased. The third chapter studies the same policy with respect to a different aspect: The minimum wage attracts labour mobility from low-wage neighbouring countries (the Czech Republic and Poland) in the respective border regions. This inflow of foreign workers does not have a negative effect on native employment. The fourth chapter addresses a shortcoming of existing NK-SAM models that allow embedding employment protection legislation. A proposed extension improves the models’ empirical relevance under a restrictive assumption.

Events which have an adverse or positive effect on some firms can disseminate through the economy to firms which are not directly affected. By exploiting the first large sovereign bond purchase programme of the ECB, this paper investigates whether more lending to some firms spill over to firms in the surroundings of direct beneficiaries. Firms operating in the same industry and region invest less and reduce employment. The paper shows the importance to consider spillover effects when assessing unconventional monetary policies: Differences between treatment and control groups can be entirely attributed to negative effects on the control group.

In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.

This paper investigates whether cultural norms shaped by religion drive consumer decisions after a corporate scandal. We exploit the unexpected notice of violation by the US Environmental Protection Agency in September 2015, accusing the car producer Volkswagen (VW) to have used software to manipulate car emission values during test phases. Using a difference-in-difference model, we show that new registrations of VW (diesel) cars decline significantly in German counties with a high share of Protestants following the VW scandal. Our results suggest that the enforcement culture rooted in Protestantism affects consumer decisions and penalises corporate fraud.

We construct country-level measures of teacher cognitive skills using unique assessment data for 31 countries. We find substantial differences in teacher cognitive skills across countries that are strongly related to student performance. Results are supported by fixed-effects estimation exploiting within-country between-subject variation in teacher skills. A series of robustness and placebo tests indicate a systematic influence of teacher skills as distinct from overall differences among countries in the level of cognitive skills. Moreover, observed country variations in teacher cognitive skills are significantly related to differences in women’s access to high-skill occupations outside teaching and to salary premiums for teachers.