Immigrants and Social Networks in a Job‐Scarce Environment: The Case of Germany1

Though information about jobs passed through personal networks has been central to the labor market integration of immigrants in the United States, its role in the economic absorption of immigrants in Germany, where jobs are scarcer and employers more likely to demand formal qualifications, is less clear. Through analysis of German Socio‐Economic Panel data, we discovered that nearly half of all immigrant‐origin job changers found their positions through networks and that the most vulnerable to unemployment – the young and the less educated – were especially likely to rely on them. Also, jobs found through networks were as likely to lead to improved working conditions as jobs acquired through more formal means. These findings have implications both for debates about assimilation and for social policy.     

Deterministic approximate inference techniques for conditionally Gaussian state space models

We describe a novel deterministic approximate inference technique for conditionally Gaussian state space models, i.e. state space models where the latent state consists of both multinomial and Gaussian distributed variables. The method can be interpreted as a smoothing pass and iteration scheme symmetric to an assumed density filter. It improves upon previously proposed smoothing passes by not making more approximations than implied by the projection onto the chosen parametric form, the assumed density. Experimental results show that the novel scheme outperforms these alternative deterministic smoothing passes. Comparisons with sampling methods suggest that the performance does not degrade with longer sequences.     

Intermediaries in the relevance-gap debate: A systematic review of consulting roles

A highly contested issue in management science is its relevance to practice. Despite third parties’ potentially significant role in changing the interaction between divided parties, the long-standing literature on the relevance gap has paid third parties little systematic attention. Drawing on a boundary-spanning perspective, and the concept of brokerage in particular, we review how the consultant role is discussed as an intermediary third party between management science and management practice. Based on a systematic literature review of 133 articles, we identify different intermediary consultant roles linking management science to management practice. Our findings detail how the practices associated with intermediary consultant roles performed by academics or practitioners relate to several key relevance criteria, how management knowledge flows when including intermediaries and how intermediaries in different roles relate to different audiences. Based on the findings, we develop a third-party model of intermediary consultant roles and knowledge flows. The model indicates the theoretical significance of third parties in shaping the interaction and knowledge flows between management science and management practice and has theoretical implications for understanding the persistence of the relevance gap. Regarding practical implications, we suggest how management scientists could target third parties as new key practitioner audiences. Considering third parties, and thus moving away from a two-party view, opens up promising directions for further research on the roles and role shifts of various intermediary actors and on how different intermediary audiences may appreciate different types of academic knowledge.