The self-employed are among those facing the highest probability of strong income losses during the COVID-19 pandemic. Governments in many countries introduced support programs to support the self-employed, including the German federal government, which approved a €50bn emergency aid program...

In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the...

Initiiert von einer lebhaften öffentlichen und wissenschaftlichen Debatte um die Eignung des Bruttoinlandsprodukts als Indikator für materiellen Wohlstand sind zahlreiche alternative Maße zur Wohlstands- und Wohlfahrtsmessung entwickelt worden. Fällt dabei die Wahl auf einen Indikatorensatz,...

Dieser Beitrag möchte einen Impuls zur stärkeren Berücksichtigung von Genderaspekten in makroökonomischen Modellen geben. Am Beispiel der Philipps-Kurve geht es um die Frage, ob sich das Erwerbsverhalten von Frauen und Männern so stark voneinander unterscheidet, dass sich dies im Verlauf...

An emerging question in demographic economics is whether there is a link between family size and the geographic distance between adult children and elderly parents. Given current population trends, understanding how different configurations of fam- ily size and sibship influence patterns of...

Expectations form the basis of economic decisions of market participants in an uncertain world. Sentiment indicators reflect those expectations and thus have a proven track record for predicting economic variables. However, respondents of surveys perceive the world to a large extent with the...

Before the World War I, the urban rental housing market in Germany could be described as a free and competitive market. The government hardly interfered in the relationships between the landlords and ten- ants. The rents were set freely. During the World War I, the market was hit by several...

Large-scale data show promise to provide efficiency gains through individualized risk predictions in many business and policy settings. Yet, assessments of the degree of data-enabled efficiency improvements remain scarce. We quantify the value of the availability of a variety of data...

Human decision-making differs due to variation in both incentives and available information. This generates substantial challenges for the evaluation of whether and how machine learning predictions can improve decision outcomes. We propose a framework that incorporates machine learning on...

Antibiotic resistance constitutes a major health threat. Predicting bacterial causes of infections is key to reducing antibiotic misuse, a leading driver of antibiotic resistance. We train a machine learning algorithm on administrative and microbiological laboratory data from Denmark to predict...