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Optimal data collection for randomized control trials
Carneiro, Pedro; Lee, Sokbae; Wilhelm, Daniel - 2016
to 58%, measured either in terms of reductions in data collection costs or in terms of improvements in the precision of …
Persistent link: https://www.econbiz.de/10011458877
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Optimal data collection for randomized control trials
Carneiro, Pedro; Lee, Sokbae; Wilhelm, Daniel - 2017
tuning parameters. In two empirical applications, we show that our procedure can lead to reductions of up to 58% in the costs …
Persistent link: https://www.econbiz.de/10011626202
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Optimal data collection for randomized control trials
Carneiro, Pedro; Lee, Sokbae; Wilhelm, Daniel - 2017
tuning parameters. In two empirical applications, we show that our procedure can lead to reductions of up to 58% in the costs …
Persistent link: https://www.econbiz.de/10011758346
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A nonlinear principal component decomposition
Gunsilius, Florian; Schennach, Susanne M. - 2017 - This version: March 27, 2017
The aim of this paper is to introduce a practical nonlinear generalization of PCA that captures nonlinear forms of dependence and delivers truly independent factors. The output of the method is a low-dimensional curvilinear coordinate system that tracks the important features of the data. The...
Persistent link: https://www.econbiz.de/10011627143
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Optimal Data Collection for Randomized Control Trials
Carneiro, Pedro Manuel - 2016
to 58%, measured either in terms of reductions in data collection costs or in terms of improvements in the precision of …
Persistent link: https://www.econbiz.de/10012992745
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Optimal data collection for randomized control trials
Carneiro, Pedro M.; Lee, Sokbae; Wilhelm, Daniel - 2016
in terms of reductions in data collection costs or in terms of improvements in the precision of the treatment effect …
Persistent link: https://www.econbiz.de/10011594325
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Optimal Data Collection for Randomized Control Trials
Carneiro, Pedro; Lee, Sokbae; Wilhelm, Daniel - 2016
to 58%, measured either in terms of reductions in data collection costs or in terms of improvements in the precision of …
Persistent link: https://www.econbiz.de/10011494280
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Optimal data collection for randomized control trials
Carneiro, Pedro M.; Lee, Sokbae; Wilhelm, Daniel - 2017
tuning parameters. In two empirical applications, we show that our procedure can lead to reductions of up to 58% in the costs …
Persistent link: https://www.econbiz.de/10011941445
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Optimal data collection for randomized control trials
Carneiro, Pedro; Lee, Sokbae; Wilhelm, Daniel - 2017
tuning parameters. In two empirical applications, we show that our procedure can lead to reductions of up to 58% in the costs …
Persistent link: https://www.econbiz.de/10011941505
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Optimal data collection for randomized control trials : editor's choice
Carneiro, Pedro; Lee, Sokbae; Wilhelm, Daniel - In: The econometrics journal 23 (2020) 1, pp. 1-31
Persistent link: https://www.econbiz.de/10012166803