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  • Search: subject:"Treatment Allocation"
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Year of publication
Subject
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experiment design 7 treatment allocation 7 Experiment 6 Estimation theory 4 Schätztheorie 4 Allocation 3 Allokation 3 Artificial intelligence 2 Decision theory 2 Entscheidungstheorie 2 Künstliche Intelligenz 2 Nichtparametrisches Verfahren 2 Nonparametric statistics 2 Arrow-Pratt measure of prudence 1 Best treatment identification 1 Binary Treatment Assignment 1 Bogota 1 Decision 1 Development 1 E-Learning 1 E-learning 1 Entscheidung 1 Experimental elicitation of preferences 1 Feldforschung 1 Field Experiment 1 Field research 1 Household Saving 1 Income Uncertainty 1 Intensity Measure of Characteristics 1 Kimball measure of prudence 1 LASSO 1 Learning process 1 Lernprozess 1 Loss Aversion 1 MSE 1 Mean Squared Error 1 Multiple Treatment Arms 1 Non-parametric utility elicitation 1 Nonparametric multi-armed bandit 1 Nutzen 1
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Online availability
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Free 8 Undetermined 2
Type of publication
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Book / Working Paper 8 Article 2
Type of publication (narrower categories)
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Working Paper 7 Graue Literatur 6 Non-commercial literature 6 Arbeitspapier 5 Article in journal 2 Aufsatz in Zeitschrift 2 Hochschulschrift 1
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Language
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English 10
Author
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Aufenanger, Tobias 7 Bastani, Hamsa 1 Bayati, Mohsen 1 Ibanez, Marcela 1 Klasen, Stephan 1 Kock, Anders Bredahl 1 Preinerstorfer, David 1 Schlather, Martin 1 Schneider, Sebastian O. 1 Veliyev, Bezirgen 1
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Published in...
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FAU discussion papers in economics 5 FAU Discussion Papers in Economics 2 Journal of econometrics 1 Operations research 1
Source
All
ECONIS (ZBW) 8 EconStor 2
Showing 1 - 10 of 10
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Treatment recommendation with distributional targets
Kock, Anders Bredahl; Preinerstorfer, David; Veliyev, … - In: Journal of econometrics 234 (2023) 2, pp. 624-646
Persistent link: https://www.econbiz.de/10014434355
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Treatment allocation for linear models
Aufenanger, Tobias - 2018
Methods of systematically balanced treatment allocation for economic experiments, as an alternative to random … allocation of treatments within a linear model framework. Linear models do not necessarily require the treatment allocation to be …
Persistent link: https://www.econbiz.de/10011856857
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Treatment allocation for linear models
Aufenanger, Tobias - 2018 - This version: January 2018
Methods of systematically balanced treatment allocation for economic experiments, as an alternative to random … allocation of treatments within a linear model framework. Linear models do not necessarily require the treatment allocation to be …
Persistent link: https://www.econbiz.de/10011857354
Saved in:
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Machine learning to improve experimental design
Aufenanger, Tobias - 2017
This paper proposes a way of using observational pretest data for the design of experiments. In particular, this paper trains a random forest on the pretest data and stratifies the allocation of treatments to experimental units on the predicted dependent variables. This approach reduces much of...
Persistent link: https://www.econbiz.de/10011725168
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Treatment allocation for linear models with covariate information
Aufenanger, Tobias - 2017 - This version: July 2017
This paper analyses optimal treatment allocation of experimental units to treatment and control group. 'Optimal' means … treatment allocation. …
Persistent link: https://www.econbiz.de/10011688215
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Cover Image
Machine learning to improve experimental design
Aufenanger, Tobias - 2017 - This version: August 2017
This paper proposes a way of using observational pretest data for the design of experiments. In particular, this paper suggests to train a random forest on the pretest data and to stratify the allocation of treatments to experimental units on the predicted dependent variables. This approach...
Persistent link: https://www.econbiz.de/10011707296
Saved in:
Cover Image
Treatment allocation for linear models
Aufenanger, Tobias - 2017 - This version: September 2017
framework. Linear models do not necessarily require the treatment allocation to be random. Since the variance of the treatment …
Persistent link: https://www.econbiz.de/10011724499
Saved in:
Cover Image
Machine learning to improve experimental design
Aufenanger, Tobias - 2017 - This version: September 2017
This paper proposes a way of using observational pretest data for the design of experiments. In particular, this paper trains a random forest on the pretest data and stratifies the allocation of treatments to experimental units on the predicted dependent variables. This approach reduces much of...
Persistent link: https://www.econbiz.de/10011724511
Saved in:
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Advances and applications of experimental measures to test behavioral saving theories and a method to increase efficiency in binary and multiple treatment assignment
Schneider, Sebastian O. - 2017
This dissertation presents four independent papers that advance experimental methods and test theories on saving using experimentally elicited characteristics. The first two papers test two behavioral theories on precautionary saving based on the characteristics loss aversion and prudence by...
Persistent link: https://www.econbiz.de/10012260367
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Online decision making with high-dimensional covariates
Bastani, Hamsa; Bayati, Mohsen - In: Operations research 68 (2020) 1, pp. 276-294
Persistent link: https://www.econbiz.de/10012172323
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