Algorithm as experiment: machine learning, market design, and policy eligibility rules
Year of publication: |
[2024]
|
---|---|
Authors: | Narita, Yusuke ; Yata, Kohei |
Publisher: |
New Haven, Connecticut : Cowles Foundation for Research in Economics, Yale University |
Subject: | Algorithmic decision making | instrumental variables | propensity score | regression discontinuity design | COVID-19 hospital relief funding | Algorithmus | Algorithm | Krankenhaus | Hospital | Coronavirus | Künstliche Intelligenz | Artificial intelligence | Kausalanalyse | Causality analysis | Regressionsanalyse | Regression analysis | Subvention | Subsidy | Schätztheorie | Estimation theory | IV-Schätzung | Instrumental variables | Wirkungsanalyse | Impact assessment |
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