Verarmungsrisiken nach kritischen Lebensereignissen in Deutschland und den USA

We study how the impact of job loss, sickness, retirement, and family dissolution on the risk of relative income poverty differs between Germany and the United States, and whether the impact of these events has changed between 1980 and 2009. Americans are more likely than Germans to enter poverty after any of the four events, yet they also recover more quickly from job loss and family dissolution. Comparisons over time do not indicate a secular rise in the impact of critical life events on poverty risks, but our results show that poverty trajectories are subject to stronger cyclical fluctuations in the United States: Through its emphasis on market mechanisms, the liberal American welfare state raises the importance of (re-)employment opportunities for coping with the consequences of adverse life events. The absence of clear long-term trends leads to a reassessment of common views about welfare state change such as Jacob Hacker??s thesis of a ??Great Risk Shift?? or the notion of an ??Americanization?? of Continental European welfare states. So far, there is also little evidence that the often claimed recalibration of welfare states towards ??new social risks?? has alleviated the adverse economic consequences of family dissolution.     

The impact of macroeconomic conditions on income inequality

This paper analyzes the relationship between macroeconomic factors and the income distribution using data on equivalized disposable household income from the United Kingdom for 1961–99. We argue in favour of fitting a parametric functional form to the income distribution for each year, and then modeling the time series of model parameters in terms of the macroeconomic factors, as this better allows us to take into account non-stationarity in the time series. Estimates from models that relate income distribution parameters to cyclical variables in first differences (to account for non-stationarity) suggest that neither inflation nor unemployment have significant effects on income inequality. Compared to the commonly-used method of modelling the income shares directly, our approach indicates that there was no clear cut relationship between macroeconomic factors and the UK income distribution during the last third of the twentieth century.     

University–industry relationships and open innovation: Towards a research agenda

Organizations increasingly rely on external sources of innovation via inter‐organizational network relationships. This paper explores the diffusion and characteristics of collaborative relationships between universities and industry, and develops a research agenda informed by an ‘open innovation’ perspective. A framework is proposed, distinguishing university–industry relationships from other mechanisms such as technology transfer or human mobility. On the basis of the existing body of research, the role of practices such as collaborative research, university–industry research centres, contract research and academic consulting is analysed. The evidence suggests that such university–industry relationships are widely practised, whereby differences exist across industries and scientific disciplines. While most existing research focuses on the effects of university–industry links on innovation‐specific variables such as patents or firm innovativeness, the organizational dynamics of these relationships remain under‐researched. A detailed research agenda addresses research needs in two main areas: search and match processes between universities and firms, and the organization and management of collaborative relationships.     

Public procurement of innovation: empirical evidence from EU public authorities on barriers for the promotion of innovation

Public procurement is seen as a powerful instrument for innovation policy, but meaningful barriers seem to hinder its deployment. This study reviews literature on complexity, time consumption, and risk representing important hindrances for the procurement of innovation from public buyers' perspective. Findings provide evidence on the existence of hindrances for public procurement of innovation across European Union member states through the analysis of data from a large-scale survey. Further, differences in terms of the perception of barriers become evident depending on the availability of monitoring systems for innovation performance.     

Solving,Estimating, and Selecting Nonlinear Dynamic Models Without the Curse of Dimensionality

We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids to overcome the curse of dimensionality for approximations. We apply sparse grids to a global polynomial approximation of the model solution, to the quadrature of integrals arising as rational expectations, and to three new nonlinear state space filters which speed up the sequential importance resampling particle filter. The posterior of the structural parameters is estimated by a new Metropolis–Hastings algorithm with mixing parallel sequences. The parallel extension improves the global maximization property of the algorithm, simplifies the parameterization for an appropriate acceptance ratio, and allows a simple implementation of the estimation on parallel computers. Finally, we provide all algorithms in the open source software JBendge for the solution and estimation of a general class of models.     

„Analysis of Categorical Data and Discrete Choices“ 30. Frühjahrsseminar des Zentralarchivs für Empirische Sozialforschung Universität zu Köln, 5.–23. März 2001

Ohne Zusammenfassung     

Philosophie des coaching

The philosophy of coaching. Anthropological, hermeneutical and ethical implicationsCounselling and coaching can be understood as modern means to foster human autonomy, following the normative idea of the enlightenment. This anthropology must be completed with the Heideggerian concept of care, which clears misunderstandings of an asymmetry between coach and client. The hermeneutical dimension of coaching is analysed as creative and perspectival understanding on the basis of a fundamental questionability. With this innovative philosophical interpretation of coaching, its ethical values are adequately grounded.     

Developing an immigration policy for Germany on the basis of a nonparametric labor market classification

Summary: Based on a nonparametrically estimated model of labor market classifications, this paper makes suggestions for immigration policy using data from West Germany of the 1990s. It is demonstrated that nonparametric regression is feasible in higher dimensions with only a few thousand observations. In sum, labor markets are able to absorb immigrants are characterized by above average age and by professional occupations. On the other hand, labor markets for young workers in service occupations exhibit rising unemployment due to wage rigidities and are therefore not recommended for immigration. This raises a potential conflict between financing Germanys ailing social security system and protecting decreasing or rigid labor markets by immigration control.*We are grateful to Daron Acemoglu, Joshua Angrist, Herbert S. Buscher, Lars P. Feld, Simon Gächter, Ira Gang, Mark Killingsworth, Gebhardt Kirchgässner, Roger Klein, John Landon-Lane, Michael Lechner, Stephen Machin, Ruth Miquel, Michael Piore, Winfried Pohlmeier, Hans-Joachim Voth, two anonymous referees and seminar participants at Rutgers University, MIT, University of Konstanz, and University of St. Gallen for helpful comments. Markus Frölich gratefully acknowledges financial support by the Swiss National Science Foundation (NSF 4043-058311). Patrick Puhani gratefully acknowledges financial support by the Volkswagen Foundation, Hannover. We thank the Center for European Economic Research (ZEW), Mannheim, for letting us work with the full sample of the German Socio-Economic Panel. All remaining errors are our own.