Showing 1 - 10 of 189
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
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
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
% in the costs of data collection, or improvements of the same magnitude in the precision of the treatment effect estimator. …
Persistent link: https://www.econbiz.de/10012003641
We investigate identification of causal parameters in case-control and related studies. The odds ratio in the sample is our main estimand of interest and we articulate its relationship with causal parameters under various scenarios. It turns out that the odds ratio is generally a sharp upper...
Persistent link: https://www.econbiz.de/10012216988
This paper studies inference for the average treatment effect in randomized controlled trials with covariate-adaptive randomization. Here, by covariate-adaptive randomization, we mean randomization schemes that first stratify according to baseline covariates and then assign treatment status so...
Persistent link: https://www.econbiz.de/10011309722
This paper studies inference for the average treatment effect in randomized controlled trials with covariate-adaptive randomization. Here, by covariate-adaptive randomization, we mean randomization schemes that first stratify according to baseline covariates and then assign treatment status so...
Persistent link: https://www.econbiz.de/10011459651
This paper studies inference for the average treatment effect in randomized controlled trials with covariate-adaptive randomization. Here, by covariate-adaptive randomization, we mean randomization schemes that first stratify according to baseline covariates and then assign treatment status so...
Persistent link: https://www.econbiz.de/10011648910
We consider a variable selection problem for the prediction of binary outcomes. We study the best subset selection procedure by which the explanatory variables are chosen by maximizing Manski (1975, 1985)'s maximum score type objective function subject to a constraint on the maximal number of...
Persistent link: https://www.econbiz.de/10011775359
This paper provides inference methods for best linear approximations to functions which are known to lie within a band. It extends the partial identification literature by allowing the upper and lower functions defining the band to be any functions, including ones carrying an index, which can be...
Persistent link: https://www.econbiz.de/10009692055