Personendaten aus der Verwaltung (Administrativdaten) haben sich in den letzten Jahrzehnten als wichtige Basis zur Evaluierung von Politikmaßnahmen erwiesen. Durch maschinelles Lernen können basierend auf diesen Daten auch Vorhersagen getroffen werden, die zur Lösung gesellschaftlicher Problemstellungen beitragen. Hierzu gehören beispielsweise das Aufspüren von Steuerbetrug und eine bessere medizinische ...
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 combinations for tackling the policy problem of curbing antibiotic resistance, where the reduction of inefficient antibiotic ...
Tests for identification through heteroskedasticity in structural vector autoregressive analysis are developed for models with two volatility states where the time point of volatility change is known. The tests are Wald-type tests for which only the unrestricted model, including the covariance matrices of the two volatility states, has to be estimated. The residuals of the model are assumed to be from ...
Die Corona-bedingten Schulschließungen sowie die Schließung von Kinderbetreuungseinrichtungen im April und Mai 2020 haben viele Eltern vor eine immense Herausforderung gestellt. Plötzlich mussten Kinder ganztags Zuhause betreut und beschult werden. In diesem Beitrag beschäftigen wir uns mit der Frage nach der subjektiven Belastung, der sich Eltern durch die Beschulung ihrer Kinder Zuhause ausgesetzt ...
We investigate how the economic consequences of the pandemic, and of the governmentmandated measures to contain its spread, affect the self-employed – particularly women – in Germany. For our analysis, we use representative, real-time survey data in which respondents were asked about their situation during the COVID-19 pandemic. Our findings indicate that among the self-employed, who generally face ...
Agency and communion are the two fundamental content dimensions in psychology. The two dimensions figure prominently in many psychological realms (personality, social, self, motivational, cross-cultural, etc.). In contemporary research, however, personality is most commonly measured within the Big Five framework. We developed novel agency and communion scales based on the items from the most popular ...