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A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes; Imhof, David; Huber, Martin - In: Computational economics 62 (2023) 4, pp. 1669-1720
Persistent link: https://www.econbiz.de/10014437552
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Machine learning with screens for detecting bid-rigging cartels
Huber, Martin; Imhof, David - In: International journal of industrial organization 65 (2019), pp. 277-301
Persistent link: https://www.econbiz.de/10012321207
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Transnational machine learning with screens for flagging bid-rigging cartels
Huber, Martin; Imhof, David; Ishii, Rieko - 2020
Persistent link: https://www.econbiz.de/10012436078
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A machine learning approach for flagging incomplete bid-rigging cartels
Wallimann, Hannes; Imhof, David; Huber, Martin - 2020
Persistent link: https://www.econbiz.de/10012260215
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Machine learning with screens for detecting bid-rigging cartels
Huber, Martin; Imhof, David - 2018
Persistent link: https://www.econbiz.de/10011923342
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Testing for covariate balance using quantile regression and resampling methods
Huber, Martin - 2010
Persistent link: https://www.econbiz.de/10008668305
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Identification of average treatment effects in social experiments under different forms of attrition
Huber, Martin - 2010
Persistent link: https://www.econbiz.de/10009240319
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Causal pitfalls in the decomposition of wage gaps
Huber, Martin - 2014
Persistent link: https://www.econbiz.de/10010242781
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A simple test for the ignorability of non-compliance in experiments
Huber, Martin - 2013
Persistent link: https://www.econbiz.de/10010242982
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Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting
Huber, Martin - 2012
Persistent link: https://www.econbiz.de/10009719896