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The impact of machine learning on economics
Athey, Susan - In: The economics of artificial intelligence : an agenda, (pp. 507-547). 2019
Persistent link: https://www.econbiz.de/10012127905
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The econometrics of randomized experiments
Athey, Susan; Imbens, Guido - 2017
Persistent link: https://www.econbiz.de/10011638904
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Exact p-values for network interference
Athey, Susan; Eckles, Dean; Imbens, Guido - 2015
Persistent link: https://www.econbiz.de/10011305395
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Ensemble methods for causal effects in panel data settings
Athey, Susan; Bayati, Mohsen; Imbens, Guido; Qu, Zhaonan - 2019
Persistent link: https://www.econbiz.de/10012005759
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Approximate residual balancing : de-biased inference of average treatment effects in high dimensions
Athey, Susan; Imbens, Guido; Wager, Stefan - 2017
Persistent link: https://www.econbiz.de/10011775965
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Estimating treatment effects using multiple surrogates : the role of the surrogate score and the surrogate index
Athey, Susan; Chetty, Raj; Imbens, Guido; Kang, Hyunseung - 2016 - Current version June 2016
Persistent link: https://www.econbiz.de/10011776049
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The state of applied econometrics : causality and policy evaluation
Athey, Susan; Imbens, Guido - In: The journal of economic perspectives : EP ; a journal … 31 (2017) 2, pp. 3-32
Persistent link: https://www.econbiz.de/10011741493
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Design-based analysis in difference-in-differences settings with staggered adoption
Athey, Susan; Imbens, Guido - 2018
Persistent link: https://www.econbiz.de/10011913084
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Matrix completion methods for causal panel data models
Athey, Susan; Bayati, Mohsen; Doudchenko, Nikolay; … - 2018
Persistent link: https://www.econbiz.de/10011925347
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Identification and inference in nonlinear difference-in-differences models
Athey, Susan; Imbens, Guido - 2002
Persistent link: https://www.econbiz.de/10001698298