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  • Seiten

    About the DIW Weekly Report

    The DIW Weekly Report is a DIW Berlin online publication. Every week selected articles of the Wochenbericht are being published online in English.

  • Refereed essays Web of Science

    A Quasi-Experimental Evaluation of Marijuana Policies and Youth Marijuana Use

    Background: Marijuana use carries risks for adolescents’ well-being, making it essential to evaluate effects of recent marijuana policies.Objectives: This study sought to delineate associations between state-level shifts in decriminalization and medical marijuana laws (MML) and adolescent marijuana use.Methods: Using data on 861,082 adolescents (14 to 18+ years; 51% female) drawn from 1999 to 2015 ...

    In: American Journal of Drug and Alcohol Abuse 45 (2019), 3, S. 292-303 | Rebekah Levine Coley, Summer Sherburne Hawkins, Marco Ghiani, Claudia Kruzik, Christopher F. Baum
  • Weitere referierte Aufsätze

    Sampling in Times of High Immigration: The Survey Process of the IAB-BAMF-SOEP Survey of Refugees

    Over the course of 2013 to 2016, over one million asylum seekers arrived in Germany, around 890,000 of them in 2015 alone. The growing refugee population posed a major challenge for Germany’s policy makers, civic administrators, and society at large, in finding new approaches to registration procedures, housing, and social and economic integration. To design policies and programs that meet these needs, ...

    In: Survey Methods : Insights from the Field (2019), 29.03.2019, 9 S. | Simon Kühne, Jannes Jacobsen, Martin Kroh
  • Refereed essays Web of Science

    Health-Related Life Cycle Risks and Public Insurance

    Based on a dynamic life cycle model, this study analyzes health-related risks of consumption and old-age poverty. The model allows for health effects on employment risks, on productivity, on longevity, the correlation between health risks, productivity and preferences, and the financial incentives of the German public insurance schemes. The estimation uses data on male employees and an extended expectation-maximization ...

    In: Journal of Health Economics 65 (2019), S. 227-245 | Daniel Kemptner
  • SOEP Brown Bag Seminar

    Do immigrants prefer regions in which people are generally more open towards immigrants and immigration?

    In my dissertation, I analyse the effect of migrant-open climate on immigrant location choice: Do immigrants prefer regions in which people are generally more open towards immigrants and immigration? I argue that to maximise well-being, immigrants reduce their risk of facing discrimination by choosing regions of residence in which migrant-open climate is higher.To capture revealed...

    10.05.2019| Vera Guill (BGSS)
  • SOEP Brown Bag Seminar

    Multidimensional Inequality Analysis using SOEP data and the Constitution of Germany

    Well-being inequality is a subject that has being extensively covered and which is widely discussed also in the political and civil environment. However, the majority of the studies done in this field are still limited to the analysis of monetary variables, like income, wealth or expenditure, completely forsaking non-monetary elements such as education, health or employment on the basis that...

    29.05.2019| Tommaso Bechini (Sapienza Università di Roma)
  • DIW Weekly Report 19 / 2019

    Artificial Intelligence and Big Data Can Help Contain Resistance to Antibiotics

    Improving physicians’ prescription practices is a primary strategy for countering the rise in resistance to antibiotics. This would prevent physicians from incorrectly prescribing antibiotics, one of the main causes of antibiotic resistance. The increasing availability of medical data and methods of machine learning provide an opportunity to generate instant diagnoses. In the present study, the example ...

    2019| Michael A. Ribers, Hannes Ullrich
  • Weekly Report

    Artificial intelligence and big data can help contain resistance to antibiotics

    by  Michael Ribers and Hannes Ullrich Improving physicians’ prescription practices is a primary strategy for countering the rise in resistance to antibiotics. This would prevent physicians from incorrectly prescribing antibiotics, one of the main causes of antibiotic resistance. The increasing availability of medical data and methods of machine learning provide an opportunity to generate ...

    07.05.2019| Michael Allan Ribers, Hannes Ullrich
  • DIW Discussion Papers 1803 / 2019

    Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?

    Antibiotic resistance constitutes a major health threat. Predicting bacterial causes of infections is key to reducing antibiotic misuse, a leading cause of antibiotic resistance. We combine administrative and microbiological laboratory data from Denmark to train a machine learning algorithm predicting bacterial causes of urinary tract infections. Based on predictions, we develop policies to improve ...

    2019| Michael A. Ribers, Hannes Ullrich
  • Refereed essays Web of Science

    European Electricity Sector Decarbonization under Different Levels of Foresight

    The European Union has set out to reduce the carbon intensity of its electricity generation substantially, as defined in the European Roadmap 2050. This paper analyses the impact of foresight towards decarbonization targets on the investment decisions in the European electricity sector using a specific model developed by the authors called dynELMOD. Incorporating the climate targets makes the investment ...

    In: Renewable Energy 141 (2019), S. 973-987 | Clemens Gerbaulet, Christian von Hirschhausen, Claudia Kemfert, Casimir Lorenz, Pao-Yu Oei
16113 results, from 3711
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