Antibiotic Resistance: Socio-Economic Determinants and the Role of Information and Salience in Treatment Choice

Project Information

ABRSEIST

Grant agreement ID: 802450

DOI 10.3030/802450

EC signature date 23 November 2018

Start date 1 January 2019

End date 31 December 2024

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 498 920,00

EU contribution € 1 498 920,00

Coordinated by

DEUTSCHES INSTITUT FUR WIRTSCHAFTSFORSCHUNG DIW (INSTITUT FUR KONJUNKTURFORSCHUNG) EV
Germany

Publications

Other (4)

Machine predictions and human decisions with variation in payoffs and skill

Author(s): Michael Allan Ribers, Hannes Ullrich
Published in: DIW Discussion Paper, Issue No. 1911, 2020
Publisher: DIW

The value of data for prediction policy problems: evidence from antibiotic prescribing

Author(s): Shan Huang, Michael Allan Ribers, Hannes Ullrich
Published in: DIW Discussion Paper, Issue No. 1939, 2021
Publisher: DIW

Physician effects in antibiotic prescribing: evidence from physician exits

Author(s): Shan Huang, Hannes Ullrich
Published in: DIW Discussion Paper, Issue No. 1958, 2021
Publisher: DIW

Battling antibiotic resistance: can machine learning improve prescribing?

Author(s): Michael Allan Ribers, Hannes Ullrich
Published in: DIW Discussion Paper, Issue No. 1803, 2019
Publisher: DIW

Peer reviewed articles (1)

Assessing the value of data for prediction policies: The case of antibiotic prescribing

Author(s): Shan Huang, Michael Allan Ribers, Hannes Ullrich
Published in: Economics Letters, 2022, ISSN 0165-1765
Publisher: Elsevier BV
DOI: 10.1016/j.econlet.2022.110360