The COVID-19 pandemic created unexpected and prolonged disruptions to childcare access. Using survey evidence on time use by academic researchers before and after the pandemic, we analyze the extent to which greater access to either school-based or partner-provided childcare mitigated the severe...

Various forms of interaction during the process of research and innovation constitute a global network of knowledge generation and diffusion. Countries and their research organizations and individual scientists need to be embedded in this network to participate in global knowledge ows and to...

The COVID-19 pandemic created unexpected and prolonged disruptions to childcare access. Using survey evidence on time use by academic researchers before and after the pandemic, we analyze the extent to which greater access to either school-based or partner-provided childcare mitigated the severe...

Die Governance der Arbeit im deutschen Hochschulsystem hat sich unter der Maßgabe der Verbesserung der Arbeitsbedingungen durch verschiedene Neuregulierungen in den vergangenen Jahren zum Teil erheblich verändert. Mithilfe von Expert:inneninterviews mit Personalstellen, Fachbereichen bzw....

In line with the growing relevance of higher education and science for societal development and innovation processes, there has been a steady increase in the salience of interrelations with the extra-academic environment in the context of academics' work. Insights into the status of this...

The major findings of this study are as follows: (1) Simple cross section estimates grossly underestimate cohort profiles during the period 1960-70. Furthermore the growth in earnings is not uniform across experience groups and more recent vintages tend to have steeper profiles in most fields....

An increasing number of countries are setting up policy programs to attract talented expats to return. Can such programs help reverse the brain drain of elite scientists from developing countries to the developed world? Will they facilitate or hinder returnee scientists’ knowledge...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

The COVID-19 pandemic created unexpected and prolonged disruptions to childcare access. Using survey evidence on time use by academic researchers before and after the pandemic, we analyze the extent to which greater access to either school-based or partner-provided childcare mitigated the severe...

Following a breakthrough discovery, scientific knowledge with natural excludability may be best transferred to industry by the labor mobility of top scientists from universities and research institutes to firms. We model labor mobility as a function of scientist's quality (as measured by...

A better understanding of current research practices and the development of attitudes about access and the sharing of research may help to better understand and possibly direct the use of illegal means towards legal means

We study the size and drivers of non-standard errors (Menkveld et al., 2021) in portfolio sorts across 14 common methodological decision nodes and 40 sorting variables. These non-standard errors range between 0.05 and 0.26 percent and are, on average, larger than standard errors. Supposedly...

We follow the migration patterns of European inventors and find evidence of a novel emigration determinant: policy uncertainty. We find that policy uncertainty raises the rate of inventor emigration by a notable magnitude. With a one standard deviation in the policy uncertainty of the home...

The publication presents the biographies and achievements of over 30 people who, since the beginning of the 20th century, have contributed to the development of the theory and methodology of statistical research at country level as well as internationally. The book is about statisticians who...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

Most bibliometric databases only provide names as the handle to their careers leading to the issue of namesakes. We introduce a universal method to assess the risk of linking documents of different individuals sharing the same name with the goal of collecting the documents into personalized...

The challenges posed by the COVID-19 pandemic have prompted scientists from different fields to evaluate whether the use of immunity certificates would allow for a safer and faster return to normality. This policy has been recently implemented by Israel (Green Pass) and similar legislation is...

A major source of research funding for university professors are competitive research grants. With focus on Luxembourg, we present results from a difference-in-difference analysis which show that research grants by the Luxembourg National Research Fund (FNR), the central research funding agency...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In recent years, crowdfunding has attracted the attention of tech startups. It has become a good alternative way to readily raise funds, especially during the early startup stages. However, in the case of mass intelligence, it is quite difficult to ensure the accuracy and reliability of...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...